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Analytical Review of the Applications of Multi-Criteria Decision Making in Data Mining
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Author(s): Iman Raeesi Vanani (Allameh Tabataba'i University, Iran)and Mir Seyed Mohammad Mohsen Emamat (Allameh Tabataba'i University, Iran)
Copyright: 2019
Pages: 27
Source title:
Optimizing Big Data Management and Industrial Systems With Intelligent Techniques
Source Author(s)/Editor(s): Sultan Ceren Öner (Istanbul Technical University, Turkey)and Oya H. Yüregir (Çukurova University, Turkey)
DOI: 10.4018/978-1-5225-5137-9.ch003
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Abstract
In recent years, multi-criteria decision making (MCDM) is a significant part of operations research (OR) and has become an interesting topic to researcher who works in the data mining (DM) field. The aim of this chapter is to provide an in-depth presentation of the contribution of MCDM in the field of DM. In order to develop a reliable knowledge base on accumulating knowledge from previous studies, we present a review of the usage of MCDM methods in DM field. The chapter presents methodology and application. The result shows that the most usage of MCDM in DM consists of evaluating classification algorithms, weighting criteria, and ranking association rules and clusters. Finally, some future research directions are suggested at the end of chapter.
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