Relational data mining

Relational data mining

Relational data mining is the data mining technique for relationaldatabases. Unlike traditional data mining algorithms, which look forpatterns in a single table (propositional patterns), relational data mining algorithms look for patterns among multiple tables(relational patterns). For most types of propositionalpropatterns, there are corresponding relational patterns. For example,there are relational classification rules, relational regression trees, relational association rules, and so on.

The most important theoretical foundation of relational data mining is
inductive logic programming.

ee 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]


Wikimedia Foundation. 2010.

Игры ⚽ Поможем написать курсовую

Look at other dictionaries:

  • 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 …   Wikipedia

  • Data mining — Not to be confused with analytics, information extraction, or data analysis. Data mining (the analysis step of the knowledge discovery in databases process,[1] or KDD), a relatively young and interdisciplinary field of computer science[2][3] is… …   Wikipedia

  • 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 classification, prediction, regression, classification,… …   Wikipedia

  • Relational classification — is the procedure of performing classification in relational databases. It is a branch of relational data mining.ee also*Data mining *Database mining *Structured data mining …   Wikipedia

  • Data warehouse — Overview In computing, a data warehouse (DW) is a database used for reporting and analysis. The data stored in the warehouse is uploaded from the operational systems. The data may pass through an operational data store for additional operations… …   Wikipedia

  • Data Vault Modeling — is a database modeling method that is designed to provide historical storage of data coming in from multiple operational systems. It is also a method of looking at historical data that, apart from the modeling aspect, deals with issues such as… …   Wikipedia

  • Data management — comprises all the disciplines related to managing data as a valuable resource. Contents 1 Overview 2 Topics in Data Management 3 Body Of Knowledge 4 Usage …   Wikipedia

  • Data mart — A data mart (DM) is the access layer of the data warehouse (DW) environment that is used to get data out to the users. The DM is a subset of the DW, usually oriented to a specific business line or team. Contents 1 Terminology 2 Design schemas 3… …   Wikipedia

  • Data visualization — A data visualization of Wikipedia as part of the World Wide Web, demonstrating hyperlinks Data visualization is the study of the visual representation of data, meaning information that has been abstracted in some schematic form, including… …   Wikipedia

  • Data warehouse appliance — In computing, a data warehouse appliance consists of an integrated set of servers, storage, operating system(s), DBMS and software specifically pre installed and pre optimized for data warehousing (DW). Alternatively, the term can also apply to… …   Wikipedia

Share the article and excerpts

Direct link
Do a right-click on the link above
and select “Copy Link”