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The literature review starts with the discussion on the contributions of descriptive and predictive mining techniques in ITSs, and later continues on the contributions of the clustering techniques. Being the largely used approach, the use of cluster analysis in ITSs is assessed. However, big data analysis is risky with clustering methods. Thus, evolutionary computational algorithms are used for data mining. Though unsupervised clustering models are widely used, drawbacks such as selection of optimal number of clustering points, defining termination criterion, and lack of objective function also occur. Eventually, various drawbacks of evolutionary computational algorithm are also addressed in this paper.<\/jats:p>","DOI":"10.1515\/jisys-2016-0159","type":"journal-article","created":{"date-parts":[[2017,3,10]],"date-time":"2017-03-10T05:02:46Z","timestamp":1489122166000},"page":"263-273","source":"Crossref","is-referenced-by-count":11,"title":["An Extensive Review on Data Mining Methods and Clustering Models for Intelligent Transportation System"],"prefix":"10.1515","volume":"27","author":[{"given":"Sesham","family":"Anand","sequence":"first","affiliation":[{"name":"Department of Computer Science and Engineering , Maturi Venkata Subba Rao Engineering College , Nadergul, Hyderabad , India"}]},{"given":"P.","family":"Padmanabham","sequence":"additional","affiliation":[{"name":"Department of Computer Science and Engineering , Bharat Institute of Engineering and Technology , Hyderabad , India"}]},{"given":"A.","family":"Govardhan","sequence":"additional","affiliation":[{"name":"JNTUH College of Engineering , JNTU Hyderabad , India"}]},{"given":"Rajesh H.","family":"Kulkarni","sequence":"additional","affiliation":[{"name":"Department of Computer Engineering , JSPM Narhe Technical Campus , Pune , India"}]}],"member":"374","published-online":{"date-parts":[[2017,3,7]]},"reference":[{"key":"2025120523303643432_j_jisys-2016-0159_ref_001_w2aab3b7c11b1b6b1ab1b6b1Aa","doi-asserted-by":"crossref","unstructured":"G. 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