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Relational data mining
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<h2 id="algorithms">Algorithms</h2> <p>Multi-Relation Association Rules: Multi-Relation Association Rules (MRAR) is a new class of association rules which in contrast to primitive, simple and even multi-relational association rules (that are usually extracted from multi-relational databases), each rule item consists of one entity but several relations. These relations indicate indirect relationship between the entities. Consider the following MRAR where the first item consists of three relations <i>live in</i>, <i>nearby</i> and <i>humid</i>: “Those who <i>live in</i> a place which is <i>near by</i> a city with <i>humid</i> climate type and also are <i>younger</i> than 20 -> their <i>health condition</i> is good”. Such association rules are extractable from RDBMS data or semantic web data.<a class="footnote-ref" id="fnref:2" href="#fn:2"><sup>2</sup></a> </p> <h2 id="software">Software</h2> <ul><li><a href="http://www.kiminkii.com/safarii.html">Safarii</a>: a Data Mining environment for analysing large relational databases based on a multi-relational data mining engine.</li> <li><a href="http://www.dataconda.net">Dataconda</a>: a software, free for research and teaching purposes, that helps mining relational databases without the use of SQL.</li></ul> <h2 id="datasets">Datasets</h2> <ul><li><a href="http://relational.fit.cvut.cz">Relational dataset repository</a>: a collection of publicly available relational datasets.</li></ul> <h2 id="see-also">See also</h2> <ul><li><a href="/facts/Data_mining/AH53q5ac">Data mining</a></li> <li><a href="/facts/Structure_mining/wTYpHwGA">Structure mining</a></li> <li><a href="/facts/Database_mining/wTYpHwGA">Database mining</a></li></ul> <h2 id="external-links">External links</h2> <ul><li><a href="http://www-ai.ijs.si/SasoDzeroski/RDMBook/">Web page for a text book on relational data mining</a></li></ul> <h2 id="references">References</h2> <ol> <li id="fn:1"><p>Dzeroski, Saso, Lavrač, Nada (Eds.), Relational Data Mining, Springer 2001 [1] <a href="/wiki/Nada_Lavra%C4%8D" target="_blank">/wiki/Nada_Lavra%C4%8D</a> <a href="#fnref:1" class="footnote-back-ref">↩</a></p></li> <li id="fn:2"><p>Ramezani, Reza, Mohamad Saraee, and Mohammad Ali Nematbakhsh; MRAR: Mining Multi-Relation Association Rules, Journal of Computing and Security, 1, no. 2 (2014) <a href="http://usir.salford.ac.uk/id/eprint/42504/1/MRAR_Saraee.pdf" target="_blank">http://usir.salford.ac.uk/id/eprint/42504/1/MRAR_Saraee.pdf</a> <a href="#fnref:2" class="footnote-back-ref">↩</a></p></li> </ol>