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Encyclopedia results for Java Data Mining

Java Data Mining





Encyclopedia results for Java Data Mining

  1. Java Data Mining

    Java Data Mining JDM is a standard Java API for developing data mining applications and tools. JDM defines an object model and Java API for data mining objects and processes. JDM enables applications to integrate data mining technology for developing predictive analytics applications and tools. The JDM 1.0 standard was developed under the Java Community Process as JSR 73. In 2006, the JDM 2.0 specification was being developed under JSR 247, but has been withdrawn in 2011 without standardization. Various data mining functions and techniques like statistical classification and association statistics association , regression analysis , data clustering , and attribute importance are covered by the 1.0 release of this standard. See also AIDA computing AIDA Abstract Interfaces for Data Analysis is a language neutral standard, with a Java implementation Mark F. Hornick, Erik Marcade, Sunil Venkayala Java Data Mining Strategy, Standard, And Practice A Practical Guide for Architecture, Design, And Implementation Broch jHepWork Java data analysis and data mining framework Weka machine learning R programming language SPSS Apache Mahout Books cite Java Data Mining Strategy, Standard, and Practice cite , Morgan Kaufmann, ISBN 0 12 370452 9 External links http www.jcp.org en jsr detail?id 247 JSR 247 JDM 2.0 http www.jcp.org en jsr detail?id 73 JSR 73 JDM 1.0 https datamining.dev.java.net Datamining ... Java Data Mining concepts article by Mark F. Hornick, Erik Marcad , and Sunil Venkayala, at JavaWorld.com http www.artima.com lejava articles data mining.html Mine Your Own Data with the JDM API article by Frank Sommers http jdj.sys con.com read 49091.htm Using Java Data Mining to Develop Advanced Analytics Applications article by Sunil Venkayala at SYS CON JDM Article Category Java platform Data Mining Category Java specification requests Data Mining Category Applied data mining Compu lang stub es Java Data Mining fr Java Data Mining ...   more details



  1. Data mining

    Data mining Practical machine learning tools and techniques with Java ref name witten cite book author1 Ian H. Witten author2 Eibe Frank author3 Mark A. Hall title Data Mining Practical Machine Learning ... Standard Process for Data Mining CRISP DM 1.0 and the 2004 Java Data Mining standard JDM 1.0 . Development ...Distinguish analytics information extraction data analysis Data mining the analysis step of the Knowledge ... Definition of Data Mining year 2010 url http www.britannica.com EBchecked topic 1056150 data ... , statistics , and database system s. ref name acm The overall goal of the data mining process is to extract ... , and the term data mining was only added for marketing reasons. ref Cite journal title WEKA ... machine learning , was changed ... The term data mining was added primarily for marketing reasons. postscript ... appropriate. The actual data mining task is the automatic or semi automatic analysis of large ... learning and predictive analytics . For example, the data mining step might identify multiple ... are part of the data mining step, but do belong to the overall KDD process as additional steps. The related terms data dredging , data fishing , and data snooping refer to the use of data mining ... tree learning decision trees 1960s , and support vector machines 1990s . Data mining is the process ... Kantardzic first Mehmed title Data Mining Concepts, Models, Methods, and Algorithms year 2003 publisher ... Discovery and Data Mining SIGKDD . Since 1989 they have hosted an annual international conference and published ... on Knowledge Discovery and Data Mining, ACM, New York. ref and since 1999 have published a biannual ... Explorations , ACM, New York. ref Computer science conferences on data mining include CIKM ACM Conference on Information and Knowledge Management DMIN International Conference on Data Mining DMKD Research Issues on Data Mining and Knowledge Discovery ECDM European Conference on Data Mining ECML ... EDM International Conference on Educational Data Mining ICDM IEEE International Conference ...   more details



  1. Oracle Data Mining

    generation of Java programming language Java and or SQL code associated with the data mining ... credit risk model settings . Oracle Data Mining also supports a Java programming language Java API consistent with the Java Data Mining JDM standard for data mining JSR 73 for enabling integration ...Oracle Data Mining ODM is an option of Oracle Corporation s Relational Database Management System RDBMS Enterprise Edition EE . It contains several data mining and data analysis algorithms for Statistical ... analytics. It provides means for the creation, management and operational deployment of data mining models inside the database environment. Infobox Software name Oracle Data Mining logo screenshot Deleted image removed Image ODMr 360 customer view workflow ss.jpg 700px Oracle Data Mining GUI caption Oracle Data Mining developer Oracle Corporation latest release version 11gR2 latest release date September, 2009 genre data mining and analytics license Proprietary software proprietary website ref http www.oracle.com technology products bi odm index.html ref Overview Oracle Data Mining implements a variety of data mining algorithms inside the Oracle database Oracle relational database . These implementations ... transfer of data into standalone mining analytic server computing servers . The relational database ... unified interface for data mining functions. These operations include functions to Data Definition Language create , apply , Test method test , and Data manipulation manipulate data mining models ... similar to tables, views, indexes and other database objects. In data mining, the process of using ... embed predictive and descriptive mining capabilities using PL SQL or Java programming language Java ... problem is also provided. Most Oracle Data Mining functions also allow text mining by accepting Text unstructured data attributes as input. History Oracle Data Mining was first introduced in 2002 and its releases are named according to the corresponding Oracle database release Oracle Data Mining ...   more details



  1. Java Data Objects

    No footnotes date June 2010 Java Data Objects JDO is a specification of Java platform Java object computer ... Craig last2 Russell date April 22, 2003 title Java Data Objects publisher O Reilly Media edition ... September 21, 2003 title Core Java Data Objects publisher Prentice Hall edition 1st pages 576 isbn ... Ezzio date June 6, 2003 title Using and Understanding Java Data Objects publisher Apress edition ... 3.0 specification Category Object relational mapping Category Java platform Data Objects Category Java enterprise platform Data Objects Category Java specification requests Data Objects Category Java APIs de Java Data Objects fr Java Data Objects hu Java Data Objects ja Java Data Objects pt JDO ... of the persistent services to the domain model . JDO persistent objects are ordinary Java programming language Java programming language class computer science classes Plain Old Java Object POJOs there s no requirement for them to implement certain interface Java interfaces or extend from special classes. JDO 1.0 was developed under the Java Community Process as http www.jcp.org en jsr detail?id ... vendors provide developers with enhancers , which modify compiled Java class files so they can be transparently ... implementation. Once enhanced, a Java class can be used with any vendor s JDO product. JDO is integrated with Java Platform, Enterprise Edition Java EE in several ways. First of all, the vendor implementation may be provided as a JEE Connector. Secondly, JDO may work in the context of JEE Java transaction service transaction services . JDO vs. EJB3 vs. JPA Enterprise Java Beans 3.0 EJB3 specification .... In the end, persistence has been broken out of EJB3 Core , and a new standard formed, the Java Persistence ... code will not require an EJB container, and thus will work within a Java SE environment as well ... SE java sql Connection from code javax.jdo.PersistenceManager code More Named Queries pm.newNamedQuery ... JDO 3.0 DataNucleus AccessPlatform 2.1.0 See also Object relational mapping Object database Java Persistence ...   more details



  1. Relational data mining

    Relational data mining is the data mining technique for relational databases. Unlike traditional data mining algorithms, which look for patterns in a single table propositional patterns , relational data mining algorithms look for patterns among multiple tables relational patterns . For most types of propositional propatterns, there are corresponding relational patterns. For example, there are relational classification rule s, relational Decision tree learning regression tree , relational association rule s, and so on. The most important theoretical foundation of relational data mining is inductive logic programming . See also Data mining Database mining Structured data mining External links http www ai.ijs.si SasoDzeroski RDMBook Web page for a text book on relational data mining Category Data collection Category Relational model database stub ...   more details



  1. Data Mining Extensions

    Data Mining Extensions DMX is a query language for Data Mining Models supported by Microsoft s SQL Server Analysis Services product. Like SQL, it supports a data definition language, data manipulation language and a data query language, all three with SQL like syntax. Whereas SQL statements operate on relational tables, DMX statements operate on data mining models. Similarly, SQL Server supports the Multidimensional Expressions MDX language for OLAP databases. DMX is used to create and train data mining models, and to browse, manage, and predict against them. DMX is composed of data definition language DDL statements, data manipulation language DML statements, and functions and operators. DMX Queries DMX Queries are formulated using the code SELECT code statement. They can extract information from existing data mining models in various ways. Data Definition Language The Data Definition Language DDL part of DMX can be used to Create new data mining models and mining structures code CREATE MINING STRUCTURE, CREATE MINING MODEL code Delete existing data mining models and mining structures code DROP MINING STRUCTURE, DROP MINING MODEL code Export and import mining structures code EXPORT, IMPORT code Copy data from one mining model to another code SELECT INTO code Data Manipulation Language The Data Manipulation Language DML part of DMX can be used to Train mining models code INSERT INTO code Browse data in mining models code SELECT FROM code Make predictions using mining model code SELECT ... FROM PREDICTION JOIN code Example a prediction query This example is a singleton prediction ... links http msdn2.microsoft.com en us library ms132058.aspx Data Mining Extensions DMX Reference , at MSDN http www.sqlserverdatamining.com SQL Server Data Mining http blogs.msdn.com jamiemac Jamie MacLennan s Blog Data warehouse Query languages Category Query languages Category Data mining and machine learning software de Data Mining Extensions pl Data Mining Extensions ...   more details



  1. Educational data mining

    Data Mining called EDM is an emerging discipline, concerned with developing methods for exploring ... of Educational Data Mining in 2009 A Review and Future Visions journal Journal of Educational Data Mining, Volume 1, Issue 1 year 2010 pages 3 17 volume 1 ref Another key area is mining enrollment data. ref Cite journal author C. Romero, S. Ventura, E. Garcia title Data Mining in Course Management ... one of the learning sciences , as well as an area of data mining . A related field is learning analytics . EDM methods The types of EDM method are related to those found in data mining in general ... 2010 Data Mining for Education. In McGaw, B., Peterson, P., Baker, E. Eds. International Encyclopedia ... clustering Correlation clustering data mining Correlation mining Sequential pattern mining Causal data mining Distillation of data for human judgment Discovery with models Baker and Kalina Yacef claim that discovery with models is particularly prominent in EDM, as compared to data mining in general ... . ref C. Romero, S. Ventura. Educational Data Mining A Review of the State of the Art. IEEE Transaction ... of EDM work are published at the peer reviewed International Conference on Educational Data Mining, organized by the http www.educationaldatamining.org International Educational Data Mining Society . http www.educationaldatamining.org EDM2008 1st International Conference on Educational Data Mining ... Data Mining 2009 Cordoba, Spain http www.educationaldatamining.org EDM2010 3rd International Conference on Educational Data Mining 2010 Pittsburgh, USA http www.educationaldatamining.org EDM2011 4th International Conference on Educational Data Mining 2011 Eindhoven, Netherlands EDM papers are also published in the http www.educationaldatamining.org JEDM Journal of Educational Data Mining ... of Educational Data Mining in the KDD Cup In 2010, the Association of Computing Machinery s http ... data mining. The data set was provided by the Pittsburgh Science of Learning Center DataShop, and consisted ...   more details



  1. Data Mining and Knowledge Discovery

    Infobox journal title Data Mining and Knowledge Discovery cover discipline Computer science abbreviation Data Min. Knowl. Discov. publisher Springer Science Business Media country frequency Triannually history 1997 present impact 1.238 impact year 2010 website http www.springer.com computer database management & information retrieval journal 10618 link1 http www.springerlink.com content r8044h783172 link1 name Online access ISSN 1384 5810 eISSN 1573 756X CODEN DMKDFD LCCN sn98038132 OCLC 38037443 Data Mining and Knowledge Discovery is a triannual Peer review peer reviewed scientific journal focusing on data mining . It is published by Springer Science Business Media . External links Official 1 http www.springer.com computer database management & information retrieval journal 10618 DEFAULTSORT Data Mining And Knowledge Discovery Category Computer science journals Category Data mining Category Springer academic journals Category Publications established in 1997 Category English language journals Category Triannual journals academic journal stub ...   more details



  1. Evolutionary data mining

    Orphan date October 2011 Evolutionary data mining , or genetic data mining is an umbrella term for any data mining using evolutionary algorithm s. While it can be used for mining data from DNA sequence ...?arnumber 1255389&isnumber 28075 A Novel Evolutionary Data Mining Algorithm With Applications to Churn ... A. http neuro.bstu.by our Data mining fereitas ga.pdf A Survey of Evolutionary Algorithms for Data Mining ... algorithms for data mining work by creating a series of random rules to be checked against a training dataset . ref name jiawei The rules which most closely fit the data are selected and are mutated ... Data mining Evolutionary algorithms work by trying to emulate natural evolution . ref name jiawei First, a random series of rules are set on the training dataset, which try to generalize the data into formulas. ref name jiawei The rules are checked, and the ones that fit the data best are kept ... Data mining Evolutionary algorithm Knowledge discovery Pattern mining Data analysis References reflist Category Data mining Category Data analysis database stub ... that approaches 100 similarity with the training data. ref name freitas This rule is then checked against ... Data preparation Before database s can be mined for data using evolutionary algorithms, it first has to be cleaned, ref name freitas which means incomplete, noisy or inconsistent data should be repaired. It is imperative that this be done before the mining takes place, as it will help the algorithms produce more accurate results. ref name jiawei Jiawei Han, Micheline Kamber Data Mining Concepts and Techniques 2006 , Morgan Kaufmann , ISBN 1558609016 ref If data comes from more than one database ..., it might be beneficial to also reduce the amount of data being handled. ref name jiawei One common method of data reduction works by getting a Normalization statistics normalized sample of data ... At this point, the data is split into two equal but mutually exclusive elements, a test and a training ...   more details



  1. National Center for Data Mining

    The National Center for Data Mining NCDM is a center of the University of Illinois at Chicago UIC , established in 1998 to serve as a resource for research, standards development, and outreach for high performance and distributed data mining and predictive modeling . NCDM won the High Performance Bandwidth Challenge at SuperComputing 06 in Tampa, FL and recently demonstrated the use of UDP Data Transport . External links http www.ncdm.uic.edu National Center for Data Mining https scinet.supercomp.org 2006 bwc SC06 Bandwidth Challenge Results br University of Illinois at Chicago campus compsci stub Category University of Illinois at Chicago ...   more details



  1. Data mining in agriculture

    Data mining in agriculture is a very recent research topic. It consists in the application of data mining ... on conveyor belt s, and which is also able to analyse by data mining techniques the taken pictures ... usage by data mining Recent studies by agriculture researchers in Pakistan one of the top four ... abuse. ref name ahsan Explaining pesticide abuse by data mining To monitor cotton growth, different ... Data Warehouse followed by analysis through querying and data mining some interesting discoveries ... en book.php Data Mining in Agriculture is published by Springer and it is co authored by http www.antoniomucherino.it ... devoted to data mining in agriculture. Conferences There are many conferences organized every year on data mining techniques and applications, but rather few of them consider problems ... to applications in agriculture of data mining. It is organized by Georg Ru . This is the conference ... last1 Mucherino first1 A. last2 Papajorgji first2 P.J. last3 Pardalos first3 P. title Data Mining ... Conference on Data Mining ICDM10 , Workshop Data Mining in Agriculture DMA10 , Springer pages ... jrpit cite journal last1 Abdullah first1 Ahsan last2 Hussain first2 Amir title Data Mining a New ... Azhar title Learning Dynamics of Pesticide Abuse through Data Mining conference Australasian Workshop on Data Mining and Web Intelligence, Dunedin, New Zealand year 2004 pages url http crpit.com confpapers CRPITV32Abdullah.pdf ref DEFAULTSORT Data Mining In Agriculture Category Applied data mining ... of pesticides is harming the farmers with adverse financial, environmental and social impacts. By data mining the cotton Pest Scouting data along with the meteorological recordings it was shown that how pesticide usage can be optimized reduced . Clustering of data revealed interesting patterns of farmer ... and metrological data for decades. Coarse estimates of just the cotton pest scouting data recorded stands at around 1.5 million records, and growing. The primary agro met data recorded has never been ...   more details



  1. Data stream mining

    Data Stream Mining is the process of extracting knowledge structures from continuous, rapid data records. A data stream is an ordered sequence of instances that in many applications of data stream mining ... change over time. This problem is referred to as concept drift . Software for data stream mining RapidMiner free open source software for knowledge discovery, data mining, and machine learning also featuring data stream mining, learning time varying concepts, and tracking drifting concept if used in combination with its data stream mining plugin formerly concept drift plugin MOA http sourceforge.net projects moa datastream Massive Online Analysis free open source software specific for mining data ... Workshop on Mining Evolving and Streaming Data IWMESD 2006 to be held in conjunction with the http www.comp.hkbu.edu.hk wii06 icdm 2006 IEEE International Conference on Data Mining ICDM 2006 in Hong Kong ... 2006. Researchers working on data stream mining http cs.ucla.edu zaniolo Carlo Zaniolo , University ..., S., Mining Data Streams A Review , in ACM SIGMOD Record, Vol. 34, No. 1, June 2005, ISSN 0163 5808 ... , in Proceedings of PODS, 2002. http www.csse.monash.edu.au mgaber WResources.htm Mining Data Streams ... C., and Cardona C., A Framework for Mining Evolving Trends in Web Data Streams using Dynamic Learning ... Press, 2010. See also Data Mining Sequence mining Streaming Algorithm Stream processing Wireless sensor ... programming language and compilation infrastructure by MIT CSAIL DEFAULTSORT Data Stream Mining Category Data mining Category Business intelligence fr Fouille de flots de donn es .... Examples of data streams include computer network traffic, phone conversations, ATM transactions, web searches, and sensor data. Data stream mining can be considered a subfield of data mining , machine learning , and knowledge discovery . In many data stream mining applications, the goal is to predict the class or value of new instances in the data stream given some knowledge about the class membership ...   more details



  1. Wrapper (data mining)

    Wrapper in data mining is a program that extracts content of a particular information source and translates it into a Relational model relational form . ref Nicholas Kushmerick, Daniel S. Weld, Robert Doorenbos, http www.isi.edu info agents courses iiweb kushmerick ijcai97.pdf Wrapper Induction for Information Extraction Proceedings of the International Joint Conference on Artificial Intelligence, 1997 ref Many web pages present structured data telephone directories, product catalogs, etc. formatted for human browsing using HTML language. Structured data are typically descriptions of objects retrieved from underlying databases and displayed in Web pages following some fixed templates. Software systems using such resources must translate HTML content into a relational form. Wrappers are commonly used as such translators. Formally, a wrapper is a function from a page to the set of Tuple tuples it contains. Wrapper generation There are two main approaches to wrapper generation wrapper induction and automated data extraction. Wrapper induction uses supervised learning to learn data extraction rules from manually labeled training examples. The disadvantages of wrapper induction are the time consuming manual labeling process and the difficulty of wrapper maintenance. Due to the manual labeling effort, it is hard to extract data from a large number of sites as each site has its own templates ... Data Mining Exploring Hyperlinks, Contents and Usage Data , Springer, 2007. ref Wrapper generation on the Web is an important problem with a wide range of applications. Extraction of such data enables one to integrate data information from multiple Web sites to provide value added services, e.g. ..., researchers have studied automated wrapper generation using unsupervised pattern mining. Automated extraction is possible because most Web data objects follow fixed templates. Discovering ... Semi structured or unstructured data Web scraping Sources references Category Internet de Wrapper ...   more details



  1. Data mining in meteorology

    About other uses of the root word meteor Meteor disambiguation about data mining Data mining Meteorology ... this issue, it is necessary to first analyze and simplify the data before proceeding with other analysis. Some data mining techniques are appropriate in this context. What is Data mining? Data mining , the extraction of hidden predictive information from large databases, is a powerful new technology with great potential to analyze important information in data warehouses. Consequently, data mining consists of more than collecting and analyzing data, it also includes analyze and predictions .... title Data Mining An Overview journal CRS year 2004 ref The network architecture and signal process ..., M. title IMPLEMENTATION OF DATA MINING TECHNIQUES FOR METEOROLOGICAL APPLICATIONS journal World ... External links Categories Category Meteorology Category Applied data mining Category Articles created ..., respectively. There are many methods of collecting data and Radar , Lidar , satellites are some of them. Weather forecasts are made by collecting quantitative data about the current state of the atmosphere ... network models, which is especially suitable for high dimensional data visualization, clustering ... the data. The SOM was introduced to meteorological and climatic sciences in late 1990s as a clustering ... 1852. volume 43 ref classification of TEMP data, ref cite news author Lahoz, D., & Miguel, M. S. title CLASSIFICATION TEMP DATA WITH SELF ORGANIZING MAPS. journal Monograf as del Seminario Matem tico ... Organizing Map projects high dimensional input data onto a low dimensional usually two dimensional ... Design . pages 2011. ref Because it preserves the neighborhood relations of the input data, the SOM ... DATA WITH SELF ORGANIZING MAPS. journal Monograf as del Seminario Matem tico Garc a de Galdeano date ..., M. S. title CLASSIFICATION TEMP DATA WITH SELF ORGANIZING MAPS. journal Monograf as del Seminario ...., & Miguel, M. S. title CLASSIFICATION TEMP DATA WITH SELF ORGANIZING MAPS. journal Monograf as del ...   more details



  1. Lift (data mining)

    Other uses Lift disambiguation Lift In data mining and association rule learning , lift is a measure of the performance of a model abstract targeting model association rule at predicting or classifying cases as having an enhanced response with respect to the population as a whole , measured against a random choice targeting model. A targeting model is doing a good job if the response within the target is much better than the average for the population as a whole. Lift is simply the ratio of these values target response divided by average response. For example, suppose a population has an average response rate of 5 , but a certain model or rule has identified a segment with a response rate of 20 . Then that segment would have a lift of 4.0 20 5 . Typically, the modeller seeks to divide the population into quantile s, and rank the quantiles by lift. Organizations can then consider each quantile, and by weighing the predicted response rate and associated financial benefit against the cost ... in econometrics as the Lorenz curve Lorenz or power curve. ref Tuff ry, St phane 2011 Data Mining ... Data Mining et statistique d cisionnelle ditions Technip, 2008 ref Example Assume the data set being ... Data mining fr Courbe lift .... Real mining problems would typically have more complex antecedents, but usually focus on single value consequents. Most mining algorithms would determine the following rules targeting models Rule 1 A implies 0 Rule 2 B implies 1 because these are simply the most common patterns found in the data ... those rules potentially useful for predicting the consequent in future data sets. Observe that even ... of the rule independent of the data set can be misleading. The value of lift is that it considers both the confidence of the rule and the overall data set. References references cite news last Coppock first David S. url http www.dmreview.com article sub.cfm?articleId 5329 title Data Modeling ...   more details



  1. Cross Industry Standard Process for Data Mining

    CRISP DM stands for Cross Industry Standard Process for Data Mining ref name Shearer00 Shearer C. http www.crisp dm.org News 86605.pdf The CRISP DM model the new blueprint for data mining . J Data Warehousing 2000 5 13 22. ref . It is a data mining process model that describes commonly used approaches that expert data miners use to tackle problems. Polls conducted in 2002, 2004, and 2007 show that it is the leading methodology used by data miners. ref Gregory Piatetsky Shapiro 2002 http www.kdnuggets.com polls 2002 methodology.htm KDnuggets Methodology Poll ref ref Gregory Piatetsky Shapiro 2004 http www.kdnuggets.com polls 2004 data mining methodology.htm KDnuggets Methodology Poll ref ref Gregory Piatetsky Shapiro 2007 http www.kdnuggets.com polls 2007 data mining methodology.htm KDnuggets Methodology Poll ref Major phases CRISP DM breaks the process of data mining into six major phases ... August title Methods for mining HTS data journal Drug Discovery Today volume 11 issue 15 16 pages 694 ... Inc. The computer giant NCR Corporation produced the Teradata data warehouse and its own data mining software. Daimler Benz had a significant data mining team. http www.ohra.nl OHRA , an insurance company, was just starting to explore the potential use of data mining. The first version of the methodology ... Anchors the data mining process References div class references small references div External links http crispdm.wordpress.com CRoss Industry Standard Process for Data Mining Blog http lesitedesdataminers.free.fr ... Pascal BIZZARI, Mai 2009 http www.dmg.org The Data Mining Group DMG The DMG is an independent, vendor led group which develops data mining standards, such as the Predictive Model Markup Language PMML Category Applied data mining Comp sci stub de CRISP DM pt Cross Industry Standard Process for Data Mining fr Cross Industry Standard Process for Data Mining ... pmid 16846796 ref Business Understanding Data Understanding Data Preparation Modeling Evaluation ...   more details



  1. Java

    about the Indonesian island Infobox islands name Java image name Java Topography.png image caption Topography of Java locator map JavaLocatie 1 .png native name Jawa native name link Indonesian language ... Banten , br Jakarta Jakarta  Special  Capital  City  District , br West Java , br Central Java , br East Java , br Yogyakarta Yogyakarta Special Region country largest city Jakarta country ... , Sundanese people Sundanese inc. Baduy , Betawi people Betawi , Madurese people Madurese Java lang ... of Madura which is administered as part of the provinces of Java , Java is the world s most populous island, and one of the most densely populated places on the globe. Java is the home of 60 ... on western Java. Much of Indonesian history took place on Java. It was the center of powerful ... colonial Dutch East Indies . Java was also the center of the Indonesian National Revolution Indonesian struggle for independence during the 1930s and 40s. Java dominates Indonesia politically, economically and culturally. Formed mostly volcanic island as the result of volcanic eruptions , Java ... 60 million people in Indonesia, most of whom live on Java. Most of its residents are multilingualism ... of the people of Java are Muslim , Java has a diverse mixture of religious beliefs, ethnicities, and cultures. Java is divided into four provinces, West Java , Central Java , East Java , and Banten ... of the name Java are not clear. One possibility is that the island was named after the Foxtail ... to Indianization the island had different names. ref Raffles, Thomas E. The History of Java . Oxford ... of Java . Oxford University Press, 1965 . Page 3 ref And, in Sanskrit yava means barley, a plant for which ..., the island of Java, in search of Sita . ref http books.google.co.id books?id 9ic4BjWFmNIC&pg PA465 ... that the Java word is derived from a Proto Austronesian language Proto Austronesian root word, meaning ... of Java in Other Javas away from the kraton. pp. 1 32. ref Geography Image Semeru Bromo Temple.JPG ...   more details



  1. Mining

    Other uses Image Simplified world mining map 2.png thumb 500px right Simplified world active mining map ... circumference and second deepest open pit mining open pit copper mine in the world. Mining is the extraction ..., from an ore body, vein geology vein or coal mining coal seam. The term also includes the removal of soil. Materials recovered by mining include base metals , precious metals , iron , uranium , coal , diamond s, limestone , oil shale , Sodium chloride rock salt and potash . Mining is required ... Chemical synthesis artificially in a laboratory or factory . Mining in a wider sense comprises extraction of any non renewable resource e.g., petroleum , natural gas , or even fossil water water . Mining of stone and metal has been done since Prehistory pre historic times. Modern mining processes involve ... is closed. The nature of mining processes creates a potential negative impact on the environment both during the mining operations and for years after the mine is closed. This impact has led to most of the world s nations adopting regulations to moderate the negative effects of mining operations .... History Prehistoric mining Image TimnaChalcolithicMine.JPG thumb Chalcolithic copper mine ... Mining Engineering Handbook , Society for Mining, Metallurgy, and Exploration Inc, 1992, p3. ref Flint ... Shaw on the Sinai Peninsula and at Timna Valley Timna . Mining in Egypt occurred in the earliest dynasties ... dust. Ancient Greece and Rome See also Mining in Roman Britain Image Dolaucothimap4.jpg thumb 250px right Ancient Roman development of the Dolaucothi Gold Mines , Wales. Mining in Europe has a very ... City state city state of Athens . However, it is the Ancient Rome Romans who developed large scale mining ... debris, called hydraulic mining , as well as washing comminution comminuted or crushed ores, and driving simple machinery. The Romans used hydraulic mining methods on a large scale to prospect for the vein s of ore, especially a now obsolete form of mining known as hushing . It involved building ...   more details



  1. Java Card

    No footnotes date October 2008 java platforms Java Card refers to a technology that allows Java platform Java dd applications applet s to be run securely on smart card s and similar small memory footprint devices. Java Card is the tiniest of Java targeted for embedded devices. Java Card gives the user ... needed date April 2010 The first Java Card was introduced in 1996 by Schlumberger Limited Schlumberger s card division which later merged with Gemplus to form http www.gemalto.com Gemalto . Java Card products are based on the Java Card Platform specifications developed by Sun Microsystems later a subsidiary of Oracle Corporation . Many Java card products also rely on the GlobalPlatform specifications ... . The main design goals of the Java Card technology are portability and security. ref cite ... of a Zero Knowledge Authentication Framework for Java Card booktitle International ... global.com article international journal information security privacy 58979 ref Portability Java Card aims at defining a standard smart card computing environment allowing the same Java Card applet to run on different smart cards, much like a Java applet runs on different computers. As in Java, this is accomplished using the combination of a virtual machine the Java Card Virtual Machine , and a well ... protocols or cryptographic algorithms ... Security Java Card technology was originally ... by various aspects of this technology Data encapsulation. Data is stored within the application, and Java Card applications are executed in an isolated environment the Java Card VM , separate from the underlying operating system and hardware. Applet Firewall. Unlike other Java VMs, a Java Card VM usually manages several applications, each one controlling sensitive data. Different applications ... of data elements of one applet to another. Cryptography. Commonly used symmetric key algorithms like Data Encryption Standard DES , Triple DES , Advanced Encryption Standard AES , and asymmetric key ...   more details



  1. Data

    mining Data modeling Computer data processing Data remanence Data set Data warehouse Database Datasheet ...two other uses data in computer science Data computing pp move indef Editors please keep the count mass discussion and etymology in the body, not the intro. Data IPAc en icon d e t respell DAY t , IPAc en d t respell DA t , or IPAc en d t respell DAH t are values of Qualitative data qualitative or Quantitative data quantitative variable and attribute research variable s, belonging to a set of items. Data in computing or data processing are often represented by a combination of items organized in rows and multivariate analysis multiple variables organized in columns. Data are typically the results of measurements and can be data visualisation visualised using graph data structure graph s or image s. Data as an abstract concept can be viewed as the lowest level of abstraction from which information and then knowledge are derived. Raw data , i.e., unprocessed data, refers to a collection of number s, character computing characters and is a relative term data processing commonly occurs by stages, and the processed data from one stage may be considered the raw data of the next. Field work Field data refers to raw data collected in an uncontrolled in situ environment. Experimental data refers to data generated within the context of a scientific investigation by observation and recording. The word data is the plural of datum , Grammatical gender neuter past participle ... , engineering , and so on, the terms givens and data are used interchangeably. Such usage is the origin of data as a concept in computer science or data processing data are numbers, words, images ... datum from which distances to all other data are measured. Any measurement or result is a datum , but data point is more usual, ref cite web author Matt Dye year 2001 title Writing Reports url http ... and the originally Latin plural data are used as the plural of datum in English, but data is commonly ...   more details



  1. Java BluePrints

    Java BluePrints is Sun Microsystems best practices for Enterprise Java Platform Java development. This is Sun s official programming model for Java Platform, Enterprise Edition Java EE Software Development Kit SDK . It began with Java Pet Store, the original reference application for the Java EE platform. This became the de facto source code for using Enterprise Java Beans and all the latest components of the Java EE platform. History Java BluePrints began as J2EE BluePrints and was started by Connie ... Kassem is the author of the original book. The idea of Java Pet Store came from Connie Weiss and Greg ... Singh became lead architect. Throughout its existence, Java BluePrints has offered all of its content for free and has been focused on promoting developer success. Java Pet Store became the symbol ... service s became a standard part of the Java EE specification. Java BluePrints came out with a second application the Java Adventure Builder reference application. This application never became as popular as Java Pet Store but then again, it never became as controversial. Books There have been three Java BluePrints books, and the Core Java EE design patterns which are hosted on the Java BluePrints site have become the standard lingua for Java EE application development. ref http java.sun.com blueprints patterns Java BluePrints Patterns Bot generated title ref Java BluePrints was the first source to promote Model View Controller MVC and Data Access Object DAO for Java EE application development. Before this, the MVC design pattern was widely promoted as part of Smalltalk . The latest Java BluePrints offering is the Java BluePrints Solutions Catalog. ref https bpcatalog.dev.java.net nonav solutions.html ref It covers topics as diverse as Java Server Faces, Web Services, and Asynchronous ... External links http www.oracle.com technetwork java index jsp 136701.html Java BluePrints Web site Category Java enterprise platform BluePrints es Java BluePrints ...   more details



  1. Mining (disambiguation)

    Mining may refer to Mining , the extraction of geological materials from the Earth. Bitcoin mining , the allocation of processing power for Bitcoin transactions with the expectation of a reward. Data mining , the process of extracting knowledge from a data set. Mining military , a siege tactic. Mining, Austria , a municipality in Upper Austria . Mianning, the Daoguang Emperor , eighth emperor of the Manchurian Qing dynasty. disambig ...   more details



  1. Criticism of Java

    types Java lacks native Integer computer science unsigned integer types. Unsigned data is often ... data interchange between C and Java. Unsigned large numbers are also used in a number of numeric processing fields, including cryptography, which can make Java more inconvenient to use for these tasks. ref Cite web publisher Oracle work Bug Database, Sun Developer Network title Java libraries should ... with conversion code and using larger data types, it makes using Java cumbersome for handling unsigned data. While a 32 bit signed integer may be used to hold a 16 bit unsigned value losslessly and a 32 ...A number of criticisms have been leveled at Java programming language Java programming language for various ... of security vulnerabilities in the primary Java VM implementation HotSpot . Additionally, Java ... languages. Developers have also remarked that differences in various Java implementations must be taken into account when writing complex Java programs that must be used across these implementations ..., run everywhere promise of Java hasn t come true. The bulk of a Java application will migrate between most Java implementations, but taking advantage of a VM specific feature causes porting problems. date 2002 05 27 accessdate 2008 08 03 ref Language syntax and semantics Generics See Generics in Java When Generic programming generics were added to Java 5.0, there was already a large framework of classes ... using Generics in Java Type erasure erasure to allow for migration compatibility and re use of these existing ... to other languages. ref cite web url http www.ociweb.com jnb jnbJul2003.html title Generics in Java ... java wrong type erasure title What s Wrong With Java Type Erasure date 2006 12 06 accessdate ... parameter is unavailable at runtime. Thus, the following operations are not possible in java ref cite web url http java.sun.com docs books tutorial java generics erasure.html title Type Erasure ref source lang java public class MyClass E public static void myMethod Object item if item instanceof E Compiler ...   more details



  1. Resource (Java)

    In the Java programming language Java programming language a resource is a piece of data that can be accessed by the code of an Application software application . An application can access its resources through Uniform Resource Locator s, like Resource Web web resources , but the resources are usually contained within the JAR file format JAR file s of the application. A Java resource bundle resource bundle is a set of key and value pairs, stored as a resource, that is commonly used to allow the Software localization localization of an application. For this purpose different resource bundles with a common set of keys are used to store translations for the messages and user interface texts of an application. References cite book last Campione first Mary coauthors Kathy Walrath, Alison Huml title The Java Tutorial Continued url http java.sun.com docs books tutorial books continued index.html accessdate April 2006 year 2004 edition 6 print. publisher Addison Wesley isbn 0 201 48558 3 chapter Internationalization chapterurl http java.sun.com docs books tutorial i18n TOC.html Category Java programming language ...   more details



  1. Belenois java

    rapae . ref cite web title Belenois java data sheet url http users.chariot.net.au erg java ds.htm ...italic title Taxobox name Belenois java image Caperwhite.jpg regnum Animal ia phylum Arthropod a classis Insect a ordo Lepidoptera familia Pieridae genus Belenois species B. java binomial Belenois java binomial authority Sparrman, 1768 ref cite web title Belenois java Sparrman, 1768 EOL url http www.eol.org pages 2866135 accessdate 2009 10 24 ref subdivision ranks Subspecies subdivision B. j. java Indonesia B. j. savuana Savu B. j. teutonia Australia B. j. ina Indonesia B. j. peristhene Melanesia B. j. picata Melanesia B. j. micronesia Fiji ref cite web url http www.ento.csiro.au aicn name s b 654.htm title 2. Belenois java ssp. teutonia Fabricius accessdate 2008 09 20 work Australian Insect Common Names publisher Commonwealth Scientific and Industrial Research Organisation Australia date November 11, 2004 ref Belenois java , the Caper White or Common White , ref name JCU is a small sized ... Belenois java Caper white, Common white butterfly JCU url http cms.jcu.edu.au discovernature butterfliescommon JCUDEV 005701 accessdate 2009 10 24 ref Both sexes and both side for Belenois java Mus um de Toulouse . gallery File Belenois java peristhene MHNT dos.jpg big big Dorsal side File Belenois java peristhene MHNT ventre.jpg big big Ventral side File Belenois java peristhene MHNT dos femelle.jpg big big Dorsal side File Belenois java peristhene MHNT ventre femelle.jpg big big Ventral side ... cm. Eggs are small and orange. ref name eduau cite web title Belenois java url http www staff.it.uts.edu.au ... spinosa and Bush orange Capparis umbonata . Unlike other caterpillars of its size the B. java feeds ... of its range. ref name eduau References commons category Belenois java wikispecies Reflist Category Pierini Category Lepidoptera of Australia Category Animals described in 1768 fr Belenois java nl Belenois java no Belenois java ...   more details




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