Multidimensional Expressions MDX is a query language for OLAP database s, much like SQL is a query language for relational databases . It is also a calculation language, with syntax similar to spreadsheet formulas. Background The MultiDimensional eXpressions MDX language provides a specialized syntax for querying and manipulating the multidimensional data stored in OLAP cube s. ref cite web url http www.microsoft.com msj 0899 mdx mdx.aspx title Manipulate and Query OLAP Data Using ADOMD and Multidimensional Expressions publisher Microsoft author Carl Nolan accessdate 2008 03 05 ref While it is possible to translate some of these into traditional SQL, it would frequently require the synthesis of clumsy SQL expressions even for very simple MDX expressions. MDX has been embraced by a wide majority of Comparison of OLAP Servers OLAP vendors and has become the standard for OLAP systems. History MDX was first introduced as part of the OLE DB for OLAP specification in 1997 from Microsoft . It was invented by the group of Microsoft SQL Server SQL Server engineers including Mosha Pasumansky . The specification was quickly followed by commercial release of Microsoft OLAP Services 7.0 in 1998 and later by Microsoft Analysis Services . The latest version of the OLE DB for OLAP specification was issued by Microsoft in 1999. While it was not an open standard, but rather a Microsoft owned specification, it was adopted by the wide range of OLAP vendors. This included both vendors on the server side such as Applix , icCube , MicroStrategy , NCR Corporation NCR , Oracle Corporation , SAS Institute SAS , SAP AG SAP , Teradata , Whitelight , and vendors on the client side such as Panorama Software ... article.php 1459531 MDX Essentials Series by William Pearson in the Database Journal ... de Multidimensional Expressions es Expresiones multidimensionales fr Multidimensional Expressions nl Multidimensional Expressions pl Multidimensional Expressions ru MDX ... more details
Multiple issues notability April 2008 orphan November 2008 An organization is multidimensional if its ... segment . Introduction The multidimensional organization exhibits the following the overall Performance ... opportunities Cause The most basic reason for the rise of the multidimensional organization is that, due to the fall in costs of information , customers start to behave in multidimensional ways in terms ... books IntroCyb.pdf accessdate 29 September 2010 ref The multidimensional organization also answers the emergence of multidimensional strategies, ref cite journal last Bartlett first C. A. coauthors ... The multidimensional organization is a new organization form, compared to the U form, the M form and the H ... with the matrix organization. Examples of firms with a multidimensional organization are IBM, Microsoft, ASML. ref cite web url http www.ssrn.com title The Emergence of the Multidimensional ... The differences between the multidimensional organization and the matrix organization can be summarized as below class wikitable Matrix organization Multidimensional organization One person may ... to ERP The multidimensional organization implies specific requirements on how transactions are recorded ... to be recorded, not only multidimensional, to allow multiple consolidations to occur simultaneously ... generation of workers Multidimensional organizations are an answer to the new generation of workers .... The multidimensional organization was discussed as early as the 1970s. ref cite journal last Ackoff first R. L. title Towards Flexible Organizations A Multidimensional Design year 1977 journal Omega ... The Concept and Potential of Multidimensional Organizations ref ref cite journal last Prahalad first C. K. coauthors Doz, Y. L. title Strategic Reorientation in the multidimensional organization journal ... multidimensional markets, and a new generation of workers and managers, to create this paradigm shift in organization forms. References Reflist DEFAULTSORT Multidimensional Organization Category ... more details
Expert subject multiple Mathematics Systems date February 2010 By the term multidimensional systems or m D systems we mean the branch of mathematical systems theory where not only one Variable mathematics variable exists like time , but several independent variables. Important problems like factorization and Stability theory stability have recently attracted the interest of many researchers and practitioners. The reason is that the factorization and stability of m D systems m 1 is not a straightforward extension of the factorization and stability of 1 D systems because for example the fundamental theorem of algebra does not exist in the Ring mathematics ring of m D m 1 polynomials . Applications Multidimensional systems or m D systems are the necessary mathematical background for modern digital image processing with many applications in biomedicine , X ray technology and satellite communications . There are also some studies combining m D systems with partial differential equations PDEs . References cite book editor last Tzafestas editor first S.G. title Multidimensional Systems Techniques and Applications publisher Marcel Dekker location New York date 1986 cite book last Kaczorek first T. title Two Dimensional Linear Systems publisher Springer Verlag series Lecture Notes Contr. and Inform. Sciences volume 68 date 1985 cite book editor last Bose editor first N.K. title Multidimensional Systems Theory, Progress, Directions and Open Problems in Multidimensional Systems publisher D. Reidel Publishing Company location Dordrecht, Holland date 1985 cite book editor last Bose editor first N.K. title Multidimensional Systems Theory and Applications publisher IEEE Press date 1979 Systemstheory stub Category Digital imaging Category Partial differential equations Category Stability theory ... more details
In statistics , econometrics , and related fields, multidimensional analysis is a data analysis process that groups data into two or more categories data dimension s and measurements. For example, a data set consisting of the number of wins for a single football team at each of several years is a single dimensional in this case, longitudinal data set. A data set consisting of the number of wins for several football teams in a single year is also a single dimensional in this case, cross sectional data set. A data set consisting of the number of wins for several football teams over several years is a two dimensional data set. In many disciplines, two dimensional data sets are also called panel data . ref Madalla, G.S., 2001. u Introduction to Econometrics u , New York Wiley. ref While, strictly speaking, two and higher dimensional data sets are multi dimensional, the term multidimensional tends to be applied only to data sets with three or more dimensions. ref Davies, A. and K. Lahiri, 1995. A new framework for testing rationality and measuring aggregate shocks using panel data. Journal of Econometrics , 68 1 , 205 227. ref For example, some forecast data sets provide forecasts for multiple target periods, conducted by multiple forecasters, and made at multiple horizons. The three dimensions provide more information than can be gleaned from two dimensional panel data sets. References references See also Multidimensional panel data DEFAULTSORT Multidimensional Analysis Category Multivariate statistics stat stub lv Daudzdimensiju anal ze ... more details
Multidimensional scaling MDS is a set of related statistical techniques often used in information visualization for exploring similarities or dissimilarities in data. MDS is a special case of Ordination statistics ordination . An MDS algorithm starts with a matrix mathematics matrix of item item Similarity mathematics similarities , then assigns a location to each item in N dimensional space, where N is specified a priori . For sufficiently small N , the resulting locations may be displayed in a graph or 3D visualisation . Types MDS algorithms fall into a taxonomy , depending on the meaning of the input matrix Classical multidimensional scaling Also known as Torgerson Scaling or Torgerson Gower ... Borg, I., Groenen, P. title Modern Multidimensional Scaling theory and applications publisher Springer Verlag location New York year 2005 pages 207 212 edition 2nd isbn 0387948457 ref Metric multidimensional ... majorization . Non metric multidimensional scaling In contrast to metric MDS, non metric MDS finds ... SSA is an example of a non metric MDS procedure. Generalized multidimensional scaling An extension of metric multidimensional scaling, in which the target space is an arbitrary smooth non Euclidean ... bron cite journal author Bronstein AM, Bronstein MM, Kimmel R title Generalized multidimensional scaling ... function. ref name Kruskal Joseph Kruskal Kruskal, J. B. , and Wish, M. 1978 , Multidimensional Scaling ... Marketing Generalized multidimensional scaling GMDS Data clustering Factor analysis Discriminant ... author Cox, T.F., Cox, M.A.A. title Multidimensional Scaling publisher Chapman and Hall year 2001 cite book author Coxon, Anthony P.M. title The User s Guide to Multidimensional Scaling. With special ... to multidimensional scaling http www.newmdsx.com NewMDSX Multidimensional Scaling Software http ... Multidimensional Scaling Category Multivariate statistics Category Market research Category Psychometrics de Multidimensionale Skalierung es Escalamiento multidimensional fr Positionnement multidimensionnel ... more details
Multidimensional sampling is the process of converting a function of a multidimensional variable into a discrete collection of values of the function measured on a discrete set of points. This article presents the basic result due to Petersen and Middleton ref name petmid62 D. P. Petersen and D. Middleton, Sampling and Reconstruction of Wave Number Limited Functions in N Dimensional Euclidean Spaces , Information and Control, vol. 5, pp. 279 323, 1962. ref on conditions for perfectly reconstructing a wavenumber limited function from its measurements on a discrete Lattice group lattice of points. This result, also known as the Petersen Middleton theorem , is a generalization of the Nyquist Shannon sampling theorem for sampling one dimensional bandlimited functions to higher dimensional Euclidean spaces. In essence, the Petersen Middleton theorem shows that a wavenumber limited function can be perfectly reconstructed from its values on an infinite Lattice group lattice of points, provided the lattice is fine enough. The theorem provides conditions on the lattice under which perfect reconstruction is possible. As with the Nyquist Shannon sampling theorem, this theorem also assumes an idealization of any real world situation, as it only applies to functions that are sampled over an infinitude of points. Perfect reconstruction is mathematically possible for the idealized model but only an approximation for real world functions and sampling techniques, albeit in practice often a very good one. Preliminaries The concept of a Bandlimiting bandlimited function in one dimension can be generalized to the notion of a wavenumber limited function in higher dimensions. Recall that the Fourier transform of an integrable function . on n dimensional Euclidean space is defined as math hat f xi mathcal F f xi int Re n f x e 2 pi i langle x, xi rangle , dx math where x and are n dimensional vector mathematics vectors , and math langle x, xi rangle math is the inner product of the vectors ... more details
Database refimprove date December 2011 condense date November 2011 A database is an organized ... processes requiring this information for example, finding a hotel with vacancies . The term database is correctly applied to the data and their supporting data structures, and not to the database management system DBMS . The database data collection with DBMS is called a database system . The term database system implies that the data is managed to some level of quality measured in terms of accuracy ... database management system DBMS . ref name Ullman Jeffrey Ullman and Jennifer widom 1997 First course in database systems , Prentice Hall Inc., Simon & Schuster, Page 1, ISBN 0 13 861337 0. ref A general .... Well known DBMSs include Oracle Database Oracle , IBM DB2 , Microsoft SQL Server , Microsoft Access , PostgreSQL , MySQL , and SQLite . A database is not generally Software portability portable ... database bibliographic , document text, statistical, or multimedia objects. Another way is by their application ..., or insurance. The term database may be narrowed to specify particular aspects of organized collection of data and may refer to the logical database, to physical database as data content in computer data storage or to many other database sub definitions. History Database concept The database concept ... data . It has evolved together with database management systems which enable the effective handling of databases. Though the terms database and DBMS define different entities, they are inseparable a database s properties are determined by its supporting DBMS and vice versa. The Oxford English ... been unlikely that a complex information system can be built effectively without a proper database ... supported data collection needs to meet respective usability requirements broadly defined by Database Major database usage requirements the requirements below to qualify as a database. Thus, a database ... meet them or converge to meet them. Evolution of database and DBMS technology See also Database ... more details
Generalized multidimensional scaling GMDS is an extension of metric multidimensional scaling , in which the target space is non Euclidean. In case when the dissimilarities are distances on a surface and the target space is another surface, GMDS allows finding the minimum distortion embedding of one surface into another. GMDS is an emerging research direction. Currently, main applications are recognition of deformable objects e.g. for three dimensional face recognition and texture mapping. References cite journal author Bronstein AM, Bronstein MM, Kimmel R title Generalized multidimensional scaling a framework for isometry invariant partial surface matching journal Proc. Natl. Acad. Sci. U.S.A. volume 103 issue 5 pages 1168 72 year 2006 month January pmid 16432211 pmc 1360551 doi 10.1073 pnas.0508601103 url http www.pnas.org cgi pmidlookup?view long&pmid 16432211 External links http www.cs.technion.ac.il mbron research gmds.html Michael Bronstein s GMDS homepage Category Multivariate statistics ... more details
Orphan date February 2009 The Multidimensional hierarchical toolkit or http www.cs.uni.edu okane source MUMPS MDH mdh.html Multi Dimensional and Hierarchical MDH Database Toolkit is a Linux based, open source d, toolkit of portable software that supports very fast, flexible, multi dimensional and hierarchical storage, retrieval and manipulation of information in databases ranging in size up to 256 terabytes. The package is written in C programming language C and C and is available under the GNU GPL LGPL Free Documentation licenses in source code form. The distribution kit contains demonstration implementations of network capable, interactive text and sequence retrieval tools that function with very large genomic data bases and illustrate the toolkit s capability to manipulate massive data sets of genomic information. Distribution The toolkit is distributed as part of the http www.cs.uni.edu okane source MUMPS MDH compiler.html Mumps Compiler . Versions exist for Linux, Cygwin , and Windows XP . Origins The toolkit is a solution to the problem of manipulating very large, character string indexed, multi dimensional, sparse matrices. It is based on MUMPS also referred to as M , a general purpose programming language that originated in the mid 60 s at the Massachusetts General Hospital . Key features The principal database feature in this project is the global array which permits direct, efficient manipulation of multi dimensional arrays of effectively unlimited size. A global array is a persistent, sparse, undeclared, multi dimensional, string indexed data disk based structure. A global array may appear anywhere an ordinary array reference is permitted and data may be stored at leaf nodes as well as intermediate nodes in the data base array. The number of subscripts in an array reference is limited only by the total length of the array reference with all subscripts expanded to their string values. The toolkit includes several functions to traverse the data base and manipulate ... more details
Refimprove date December 2008 In econometrics , panel data is data observed over two dimensions typically, time and cross sections . A panel data set is termed multidimensional when the phenomenon is observed over three or more dimensions. An example is a data set containing forecasts produced by multiple individuals the first dimension forecasting multiple macroeconomic variables the second dimension at multiple time horizons the third dimension and for multiple target periods the fourth dimension . Analysis of panel data A multidimensional panel with four dimensions can have the form math X isth , i 1, dots, N, s 1, dots, S, t 1, dots, T, h 1, dots, H, , math where i is the individual dimension, s is the series dimension, t is the time dimension, and h is the horizon dimension. A general multidimensional panel data regression model is written as math y isth alpha X sith beta u sith . , math Complex assumptions can be made on the precise structure of the correlations among errors in this model. For example, serial correlation error terms correlated across time has multiple distinct meanings. Error terms can be correlated across time for the same series, individual, and horizon. They can be correlated across time and across series for the same individual and horizon, etc. Similarly, heteroskedasticity can be defined across individuals for the same series, time, and horizon, across individuals and different series for the same time and horizon, etc. Data sets which have a multidimensional panel design Blue Chip Survey of Professional Forecasters Survey of Professional Forecasters ASA NBER See also Panel analysis References http www.cemfi.es arellano Arellano, Manuel . Panel Data Econometrics, Oxford University Press 2003. Hsiao, Cheng, 2003. Analysis of Panel Data, Cambridge University Press. Davies, A. and Lahiri, K., 2000. Re examining the Rational Expectations Hypothesis Using Panel Data on Multi Period Forecasts, Analysis of Panels and Limited Dependent Variable ... more details
unsourced date May 2009 A multidimensional parity check code MDPC is a simple type of error correcting code that operates by arranging the message into a multidimensional grid, and calculating a parity bit parity digit for each row and column. In general, an n dimensional parity scheme can correct n 2 errors. Fact date May 2009 Example Assume that the goal is to transmit the four digit message 1234 , using a two dimensional parity scheme. First the digits of the message are arranged in a rectangular pattern 12 34 Parity bit Parity digits are then calculated by summing each column and row separately 12 3 34 7 46 The eight digit sequence 12334746 is the message that is actually transmitted. If any single error occurs during transmission then this error can not only be detected but can also be corrected as well. Let us suppose that the received message contained an error in the first digit. The receiver rearranges the message into the grid font color red 9 font 2 3 34 7 46 The receiver can see that the first row and also the first column add up incorrectly. Using this knowledge and the assumption that only one error occurred, the receiver can correct the error. In order to handle two errors, a 4 dimensional scheme would be required, at the cost of more parity digits. Decoder An n dimensional parity scheme is only guaranteed to correct up to n 2 errors, as the minimum distance is n 1 . As with all block code s, a soft decision decoder may be able to correct more than this. See also Error detection and correction Forward error correction Low density parity check code Category Error detection and correction ... more details
Unreferenced date August 2008 In probability theory , the multidimensional Chebyshev s inequality is a generalization of Chebyshev s inequality , which puts a bound on the probability of the event that a random variable differs from its expected value by more than a specified amount. Let X be an N dimensional random vector with expected value math mu mathbb E left X right math and covariance matrix math V mathbb E left left X mu right left X mu right T right . , math If math V math is a positive definite matrix , for any real number math t 0 math math mathrm Pr left sqrt left X mu right T , V 1 , left X mu right t right le frac N t 2 math where math N mathrm trace V 1 V math . Proof Since math V math is positive definite, so is math V 1 math . Define the random variable math y left X mu right T , V 1 , left X mu right . math Since math y math is positive, Markov s inequality holds math mathrm Pr left sqrt left X mu right T , V 1 , left X mu right t right mathrm Pr left sqrt y t right mathrm Pr left y t 2 right le frac mathbb E y t 2 . math Finally, math mathbb E y mathbb E left X mu right T , V 1 , left X mu right mathbb E mathrm trace V 1 , left X mu right , left X mu right T mathrm trace V 1 V N . math Category Probabilistic inequalities Category Statistical inequalities ... more details
The Multidimensional Poverty Index MPI was developed in 2010 by Oxford Poverty & Human Development Initiative and the United Nations Development Programme ref cite news author coauthors title A wealth of data. A useful new way to capture the many aspects of poverty url http www.economist.com node 16693283 quote Aided by the improved availability of survey data about living conditions for households in over 100 developing countries, the researchers have come up with a new index, called the Multidimensional Poverty Index MPI , which the United Nations Development Programme UNDP will use in its next Human Development Report in October. work The Economist date July 29, 2010 accessdate 2010 08 04 ref and uses different factors to determine poverty beyond income based lists. It replaced the previous Human Poverty Index . The MPI is an index of acute multidimensional poverty. It shows the number of people who are multidimensionally poor suffering deprivations in 33 of weighted indicators and the number of deprivations with which poor households typically contend. It reflects deprivations in very rudimentary services and core human functioning for people across 104 countries. Although deeply constrained by data limitations, MPI reveals a different pattern of poverty than income poverty, as it illuminates a different set of deprivations. Indicators The index uses the same three dimensions as the HDI Human Development Index health, education, and standard of living. These are measured using ... wp content uploads MPI 2011 Methodology Note 4 11 2011 1500.pdf?cda6c1 title Multidimensional ... Alkire, S. Roche, JM. Santos, ME. and Seth, S November 2011 http ophi.qeh.ox.ac.uk . Multidimensional ... policy multidimensional poverty index . small See also Human Development Index References ... Nations Development Programme az ox l l Yoxsulluq ndeksi ca ndex de pobresa multidimensional es ndice de pobreza multidimensional fr Indice de pauvret multidimensionnelle ... more details
Orphan date February 2009 A statistical database is a database used for statistics statistical analysis purposes. It is an OLAP instead of OLTP system, although this term precedes that modern decision, and classical statistical databases are often closer to the relational model than the multidimensionaldatabasemultidimensional model commonly used in OLAP systems today. Statistical databases often incorporate support for advanced statistical analysis techniques, such as correlations, which go beyond SQL . They also pose unique security concerns, which were the focus of much research, particularly in the late 1970s and early to mid 1980s. Security in statistical databases In a statistical database, it is often desired to allow query access only to aggregate datas, not individual records. Securing such a database is a difficult problem, since intelligent users can use a combination of aggregate queries to derive information about a single individual. Some common approaches are only allowing aggregate queries SUM, COUNT, AVG, STDEV, etc. rather than returning exact values for sensitive data like income, only return which partition it belongs to e.g. 35k 40k return imprecise counts e.g. rather than 141 records met query, only indicate 130 150 records met it. don t allow overly selective WHERE clauses audit all users queries, so users using system incorrectly can be investigated use ... restrictions on allowable query set sizes will render the database useless as a source of statistical ... trier.de ley db conf ssdbm Statistical and Scientific Database Management SSDBM An important ... E. Denning, Secure statistical databases with random sample queries, ACM Transactions on Database ... de Jonge, Compromising statistical databases responding to queries about means, ACM Transactions on Database ..., Jan Schl rer, A fast procedure for finding a tracker in a statistical database, ACM Transactions on Database Systems, Volume 5, Issue 1 March 1980 . Pages 88 102 Category Statistical databases ... more details
In the PsycINFO database accessed 25 May 2010 , a search for publications that cited Multidimensional ...Infobox Book name Multidimensional Measurement of Religiousness Spirituality for Use in Health Research small A Report of the Fetzer Institute National Institute on Aging Working Group small title orig ... pages 95 isbn oclc url http www.fetzer.org research 248 dses Multidimensional Measurement of Religiousness ... factors in research. The book concludes by presenting the Brief Multidimensional Measure of Religiousness ..., often called a domain of religion spirituality. Combining all these questions gives the Multidimensional ... small Domain Focused Chapters br Multidimensional Measurement of Religiousness br Spirituality for use ... Suggest potential mechanisms whereby these variables might operate and Provide a short multidimensional ... a religious person? p. 88 . ref This chapter is entitled Brief Multidimensional Measure of Religiousness ... cite journal author John W. Traphagan year 2005 title Multidimensional Measurement of Religiousness ... Exploring the dimensionality of religiosity and spirituality in the Fetzer multidimensional measure ... construct validation of the multidimensional measurement of religiousness spirituality instrument ... of the Brief Multidimensional Measure of Religiousness Spirituality among college students journal .... Knight year 2008 title Reliability and validity of the Brief Multidimensional Measure of Religiousness ... Re conceptualizing the factor structure of the Brief Multidimensional Measure of Religiousness Spirituality ... title A Factor Analysis of the Fetzer NIA Brief Multidimensional Measure of Religiousness Spirituality ... s Multidimensional Measure of Religiousness Spirituality is rapidly becoming the standard measure ... from the Fetzer Institute website see external links . The two editions are cite book title Multidimensional ... , MI, USA isbn url 95 pages cite book title Multidimensional Measurement of Religiousness Spirituality ...? DEFAULTSORT Multidimensional Measurement Of Religiousness Spirituality Book Category 1999 ... more details
Database state may refer to Database state, in database technology the set of stored data. Entering, modifying, or deleting information changes the database state. A state that practices Mass surveillance . disambig ... more details
Protein database may refer to Any protein structure database Any protein sequence database Exact names Protein NIH Protein database of the National Institute of Health Protein Database of Bio Synthesis, Inc. disambig ... more details
A database machine or back end processor is a computer or special hardware that stores and retrieves data from a database . It is specially designed for database access and is coupled to the main front end computer s by a high speed channel. This contrasts with a database server , which is a computer in a local area network that holds a database. The database machine is tightly coupled to the main CPU , whereas the database server is loosely coupled via the network. An example is the IBM System 38 . Database FOLDOC Category History of computing Category Databases compu hardware stub ... more details
A Centralized database is a database located and maintained in one location, unlike a distributed database . One main advantage is that all data is located in one place. The disadvantage is that bottlenecks may occur. database stub web stub Category Types of databases ... more details
A negative database , in Credit Card terms, refers to a list of Credit Card owners who chargeback a lot. Negative databases are usually maintained by Credit Card companies. The term negative database also refers to a security concept in database terms where contrary to traditional databases, such database saves attributes that cannot be associated with a certain entry. http sigfpe.blogspot.com 2006 10 negative databases.html http www.economist.com science displayStory.cfm?story id 7854216 Database Category Credit cards Category Database security econ stub database stub ... more details
NMR database NMR nuclear magnetic resonance may refer to NMR spectra database , a collection of NMR spectra for a large number of compounds NMR database method , a strategy to identify the stereochemistry of certain chiral compounds dab ... more details
unreferenced date August 2011 A database server is a computer program that provides database services to other computer programs or computer s, as defined by the client server software modeling model . The term may also refer to a computer dedicated to running such a program. Database management system s frequently provide database server functionality, and some database management system DBMSs e.g., MySQL rely exclusively on the client server model for database access. Such a server is accessed either through a front end running on the user s computer which displays requested data or the back end which runs on the server and handles tasks such as data analysis and storage. In a Master slave technology master slave model, database master servers are central and primary locations of data while database slave servers are synchronized backups of the master acting as proxies. Some examples of proprietary database servers are Oracle Corporation Oracle , IBM DB2 DB2 , Informix , and Microsoft SQL Server . Examples of GNU General Public Licence database servers are Ingres database Ingres and MySQL . Every server uses its own query logic and structure. The SQL query language is more or less the same in all the database servers. See also Replication computer science Database replication Database replication Database Category Data management Category Servers computing Category Databases software type stub database stub de Datenbankserver id Server basis data kk nl Databaseserver ... more details
The Diseases Database is a database that underlies a free website that provides information about the relationships between medical conditions, symptoms , and medications . The database is run by Medical ... Organization The Diseases Database is based around a collection of concepts related to human medicine .... These are referred to as items . There are around 8,000 items within the database. ref http www.diseasesdatabase.com ... resources three sets of metadata are modelled within the database. Firstly, Diseases Database ... heart disease . More formally the database employs an entity attribute value model with items ... infarction . Such relationships aggregate within the database and allow lists to be retrieved ... infarction. Secondly, most Diseases Database items are assigned topic specific hyperlinks to Web ..., most Diseases Database items are mapped to concepts within the Unified Medical Language System UMLS ... notes for the majority of items on the database. The UMLS map also enables links to and from other medical classifications and terminologies e.g. ICD 9 and SNOMED . Diseases Database content can thus ... concept code for Myocardial infarction 22298006 finds the equivalent Diseases Database item ... Diseases Database References Reflist Category Bioinformatics Category Medical literature Category Medical databases ar az Diseases Database be Diseases Database bs Diseases Database ca Diseases Database cy Cronfa ddata o Afiechydon et Diseases Database es Diseases Database fa fr Diseases Database gl Diseases Database ko id Diseases Database he Diseases Database jv Diseases Database nl Diseases Database no Diseases Database pl Diseases Database pt Diseases Database ru Diseases Database sr Diseases Database sh Diseases Database sv Diseases Database ta tr Hastal k Veri Taban uk Diseases Database ur vi Diseases Database zh ... more details
The Openedge Database is a relational database with some growing Object capabilities . It was formerly known as the Progress RDBMS. see also Progress Software Corporation OpenEdge Advanced Business Language sources date February 2012 database software stub Category Proprietary database management systems ... more details
unreferenced date November 2011 Basis database or OpenText Collections Server is a database produced by Open Text Corporation . External links http www.opentext.com 2 global products products library and collection management products opentext collections server.htm Open Text Corporation product website database software stub Category Database management systems ... more details
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