Data Mining: Concepts and Techniques, 3rd edition
The book Knowledge Discovery in Databases, edited by Piatetsky Shapiro and Frawley [PSF91] is an early collection of research papers on knowledge discovery from data. The book Advances in Knowledge Discovery and Data Mining, edited by Fayyad, Piatetsky Shapiro, Smyth, and Uthurusamy [FPSSe96] is a collection of later research results on knowledge discovery and data mining. There have been many data mining books published in recent years, including Predictive Data Mining by Weiss and Indurkhya [WI98] Data Mining Solutions: Methods and Tools for Solving Real World Problems by Westphal and Blaxton [WB98] Mastering Data Mining: The Art and Science of Customer Relationship Management by Berry and Linofi [BL99] Building Data Mining Applications for CRM by Berson, Smith, and Thearling [BST99] Data Mining: Practical Machine Learning Tools and Techniques by Witten and Frank [WF05] Principles of Data Mining (Adaptive Computation and Machine Learning) by Hand, Mannila, and Smyth [HMS01] The Elements of Statistical Learning by Hastie, Tibshirani, and Friedman [HTF01] Data Mining: Introductory and Advanced Topics by Dunham, and Data Mining: Multimedia, Soft Computing, and Bioinformatics by Mitra and Acharya [MA03] There are also books containing collections of papers on particular aspects of knowledge discovery, such as Machine Learning and Data Mining: Methods and Applications edited by Michalski, Brakto, and Kubat [MBK98] and Relational Data Mining edited by Dzeroski and Lavrac [De01] as well as many tutorial notes on data mining in major database, data mining and machine learning conferences.