2006
DOI: 10.1007/11908678_11
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Ontology-Enhanced Association Mining

Abstract: Abstract. The roles of ontologies in KDD are potentially manifold. We track them through different phases of the KDD process, from data understanding through task setting to mining result interpretation and sharing over the semantic web. The underlying KDD paradigm is association mining tailored to our 4ft-Miner tool. Experience from two different application domains-medicine and sociology-is presented throughout the paper.

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Cited by 23 publications
(12 citation statements)
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“…Another approach that uses ontologies in rule mining is the 4ft-Miner tool [192]. The tool is used in four stages of the KDD process: data understanding, data mining, result interpretation and result dissemination.…”
Section: Discussionmentioning
confidence: 99%
“…Another approach that uses ontologies in rule mining is the 4ft-Miner tool [192]. The tool is used in four stages of the KDD process: data understanding, data mining, result interpretation and result dissemination.…”
Section: Discussionmentioning
confidence: 99%
“…In the early work, Svatek and Rauch [71] designed association mining tool that can benefit from ontologies in all four stages of the mining process: data understanding, task design, result interpretation, and result dissemination over the Semantic Web. Bellandi et al [9] presented an ontology-based association rule mining method, which queries the ontology to filter the instances used in the association rule mining process.…”
Section: A Ontology-based Association Rule Miningmentioning
confidence: 99%
“…There are several approaches to do it. One of them is based on using ontologies in applications of the 4ft-Miner procedure [106]. An other approach is based on storing relevant background knowledge in the special part of the LISp-Miner system, this part is called LISp-Miner Knowledge Base [100].…”
Section: Research Projects Related To Lisp-minermentioning
confidence: 99%