Introduction Data Mining by Mei Tan (3 results)

paperback. Condition: New. Paperback. Pub Date: 2010 Pages: 769 Publisher: China Machine Press data mining Introduction (English) a comprehensive introduction to the theory and methods of data mining. focusing on the knowledge of how to use data mining to solve various practical problems involving many disciplines. a wide range of applications. The book covers five topics: data classification. association analysis. clustering and anomaly detection. In addition to anomaly detection. each topic contains two chapters: the.

paperback. Condition: New. Language:Chinese.Paperback. Pub Date: 2019-11-01 Pages: 836 Publisher: China Machine Press book from the perspective of the algorithm describes the main principles and techniques of data mining used. To better understand how data mining techniques for various types of data to study these principles and techniques is crucial. Topics covered in this book include: data preprocessing. predictive modeling. off .

paperback. Condition: New. Paperback. Pub Date :2013-4-1 Pages: full two volumes Publisher: People Post Press Big Data: Internet and distributed processing of large-scale data mining. the book from the author for many years a professor at Stanford University. Web mining course materials. focusing on practical algorithm for large data environment data mining. The book analyzes the massive data sets commonly used data mining algorithms. introduces a number of important topics of the current Web applications. The main con.