Combination of Case-Based Reasoning and Data Mining Through Integration with the Domain Ontology

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外文摘要：In present paper we consider a combination of CBR with the Domain Ontology and Data Mining。 The proposed approach to integration CBR with the Ontology， as a result， gives a numerical matrix that characterize the semantic relationship of cases with the domain concepts。 Then it is possible to apply methods of cluster analysis， classification and regression to this data matrix in order to organize semantic space of cases and thus increase the relevance of their retrieval。 We explore possibilities of fuzzy logic approaches for building fuzzy rules and classification trees。

外文关键词：

Case-Based ReasoningOntologyClassificationFuzzy decision treeData mining

作者：

Tatiana Avdeenko、Ekaterina Makarova、Samal Begenova

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作者单位：

Novosibirsk State Technical University, Novosibirsk, Russia

会议名称：

International conference on swarm intelligence;International conderence on data mining and big data

会议地点：

Shanghai(CN)

会议母体文献：

Data mining and big data

页码：

159-167

出版时间：

2018

DOI：

10.1007/978-3-319-93803-5_15