M.H. Dunham, Data Mining (Introductory and Advanced Topics), Prentice-Hall,
2002 ... Data Mining: Practical Machine Learning Tools and Techniques with
Java.
D.N.Davis
Bibliography for Data Mining and Related Areas DataMining M.H. Dunham, Data Mining (Introductory and Advanced Topics), Prentice-Hall, 2002 S.M. Weiss & N. Indurkhya Predictive Data Mining, Morgan Kaufmann, 1998. Hand, D.J., Mannila, H. and Smyth, P. Principles of Data Mining, MIT Press, 1997. P. Adriaans & D. Zantings - Data Mining Addison-Wesley-Longman, 1996. Berry M.J.A. & Linoff, G.S., Mastering Data Mining, Wiley 2000. U.M. Fayyad, G. Piatetsky-Shapiro, P.Smith & R. Uthurusamy Advances in Knowledge Discovery and Data Mining, MIT. Pyle, D. Data Preparation for Data Mining, Morgan Kaufmann; ISBN: 1558605290, 1999 Witten, I.H. and Eibe F., Data Mining: Practical Machine Learning Tools and Techniques with Java Implementations (The Morgan Kaufmann Series in Data Management Systems), , Morgan Kaufmann; ISBN: 1558605525, 1999. Han, J., and Kamber, M. Data Mining: Concepts and Techniques: Management Systems (The Morgan Kaufmann Series in Data Management Systems), Morgan Kaufmann; ISBN: 1558604898, 2000 Soukup, T., Davidson, I., Visual Data Mining: Techniques and Tools for Data Visualization and Mining, Wiley, ISBN: 0-471-14999-3, May 2002 Dasu, T., and Johnson, T., Exploratory Data Mining and Data Cleaning, Wiley, ISBN: 0-471-26851-8, May 2003
Data Warehouse S.Kelly, Data Warehousing in Action, Wiley, 1997. R. Baeza-Yates & B. Ribeiro-Neto, Modern Information Retrieval, Addison-Wesley-Longman, 1999. P. Gray & H.J. Watson, 1998, Decision support in the Data Warehouse, Prentice-Hall, 1998. P. C. Pendharkar Managing Data Mining Technologies in Organizations:Techniques and Applications, Idea Group Publishing, 2003 E. Turban, & J.E. Aronson, 2001, Prentice-Hall, Decision support systems & intelligent systems. (6/e)
Neural Nets R. Callan, Essence of Neural Networks, Prentice-Hall, 1999 S.S. Haykin, Neural Networks : A Comprehensive Foundation, Prentice-Hall, 1999 (In Depth) I. Aleksander & H. Morton, An Introduction to Neural Computing, Thomson Press, 1995. C.M. Bishop, Neural Networks for Pattern Recognition Oxford University Press; 1995 .
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T.M. Mitchell, Machine Learning, McGraw-Hill, 1997 R. J. Schalkoff, Artificial Neural Networks, McGRaw-Hill, 1997 L. Tarassenko, Guide to Neural Computing Applications, 1999
Machine Learners G.F. Luger & W.A. Stubblefield, Artificial Intelligence: Structures and Strategies for Complex Problem solving Chapters 13-15, Addison-Wesley, 3/e 1998. T. M. Mitchell, Machine Learning, McGraw-Hill, 1997. S.J. Russell & P. Norvig, Artificial Intelligence-A Modern Approach, Section IV, Prentice-Hall, 2001 G.F. Luger, Artificial Intelligence,Structures and Strategies for Complex Problem solving Chapters 9-11, Addison-Wesley, 4/e 2001. T. M. Mitchell, Machine Learning, McGraw-Hill, 1997.
Other Support J. Gips, Mastering EXCEL:A Problem Solving Approach 2/e Prentice-Hall, 2003. Fred I. Dretske, Knowledge and the Flow of Information, CSLI Publications , Stanford, CA., 1999 ACM Special Interest Group in KDD http://www.acm.org/sigkdd/ Web pages hosted by the ACM Special Interest Group on Knowledge Discovery in Data and Data Mining KD Nuggets http://www.kdnuggets.com/ Includes The Data Mining & Knowledge Discovery newsletter containing data mining news, jobs, software, courses IBM Research http://www.almaden.ibm.com/software/quest/ Includes links to Hippocratic Database and Privacy Maintaining Data Mining Projects. The Data Mine http://www.the-data-mine.com/ The Data Mine was launched in April 1994, to provide information about Data Mining (AKA Knowledge Discovery In Databases? or KDD). The National Center for Data Mining (USA) http://www.ncdm.uic.edu/ The National Center for Data Mining (NCDM) at the University of Illinois at Chicago (UIC) was established in 1998 to serve as a national resource for high performance and distributed data mining.