Introduction to Data Mining
- ISBN-10
- 0273769227
- ISBN-13
- 9780273769224
- Series
- Introduction to Data Mining
- Category
- Data mining
- Pages
- 864
- Language
- English
- Published
- 2018-04-13
- Authors
- Pang-Ning Tan, Michael Steinbach, Anuj Karpatne
Description
Introduction to Data Mining presents fundamental concepts and algorithms for those learning data mining for the first time. Each concept is explored thoroughly and supported with numerous examples. The text requires only a modest background in mathematics. Each major topic is organized into two chapters, beginning with basic concepts that provide necessary background for understanding each data mining technique, followed by more advanced concepts and algorithms.
Get the book
Other editions
-
- 2013-08-29
- 737 pages
- Paperback
- Pearson Higher Ed
Similar books
-
Process Mining to Facilitate Process Improvement in a Healthcare Environment: An Emergency Department Case Study
By Laura MatthewsProcess Mining to Facilitate Process Improvement in a Healthcare Environment: An Emergency Department Case Study
-
Advances in Data Mining and Modeling, Hong Kong, 27-28 June 2002
By Wai Ki Ching, Michael K. Ng... 8 dissimilarity matrix and their row total St. Note that the first row has the maximum total distance (S) = 12.05), ... Both (1.2) and (1.3) gives the same solution as in Heiser and Arabie “, Pliner * or Lau, Leung and Tse * with ...
-
Discovering the Value of the Omaha System for Knowledge Representation and Data Classification: A Semantics-powered Text Mining Case Study
By Karen A. Monsen, Ragnhildur I. Bjarnadottir, Christie L. MartinThe text mining process included data selection, preprocessing, transformation, lexical analysis, and classification, performing at an 89% accuracy.
-
Handbook of Statistical Analysis and Data Mining Applications
By Robert Nisbet, Gary Miner, John Fletcher ElderThis comprehensive professional reference for scientists, engineers, and researchers brings together in a single resource all the information a beginner will need to rapidly learn how to conduct data mining and the statistical analysis ...
-
Data Mining: Techniques And Trends
By Gopalan & SivaselvanData Mining: Techniques And Trends
-
数据挖掘基础教程: A Tutorial-based Primer
By Richard J. Roiger责任者译名:罗伊尔。
-
データマイニングと集合知: 基礎からWeb、ソーシャルメディアまで
By 石川博, 新美礼彦基礎からWeb、ソーシャルメディアまで
-
Web数据挖掘
By Bing Liu, 俞勇本书不仅介绍了搜索,页面爬取和资源探索以及链接分析等传统的Web挖掘主题,而且还介绍了结构化数据的抽取,信息整合,观点挖掘和Web使用挖掘等内容 ...
-
数据挖掘与知识发现
By 李雄飞高等学校研究生系列教材
-
Essentials of Business Analytics
By David R. Anderson, Dennis J. Sweeney, Thomas A. WilliamsEssentials of Business Analytics