文章基本信息

标题：Development of Data Mining System to Analyze Cars using TkNN Clustering Algorithm
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作者：M.Jayakameswaraiah ; S.Ramakrishna
期刊名称：International Journal of Advanced Research in Computer Engineering & Technology (IJARCET)
印刷版ISSN：2278-1323
出版年度：2014
卷号：3
期号：7
页码：2365-2373
出版社：Shri Pannalal Research Institute of Technolgy
摘要：Now a day's customers are required comfort and their loving brand & color. With the advent of the Internet and Data Mining Algorithms has undoubtedly contributed to the shift of marketing focus. Conventional way of business is a challenging in car market due to many competitors are there around the world for providing competitive products. The car manufacturers categorizes the car users and have to invent a suitable car; the seller correctly groups the buyers and he sells a right car; and the customers selects best car by analyzing more brands of cars with 'N' number of sellers. These three cases they spent too much of time for analyzing old or statistical data for choosing a right product. In this paper, we proposed TkNN algorithm for best car market analysis. We have executed the same in Weka Tool with Java code. We analyzed the graphical performance analysis between KNN and our novel TkNN clustering algorithms with Classes to Clusters evaluation purchase, safety, luggage booting, persons (seating capacity), doors, maintenance and buying attributes of customer's requirements for unacceptable/acceptable/good/very good ratings of a car to purchase.
关键词：Clustering; Unsupervised Learning; Weka; ; KNN; TkNN.