Data Mining, Second Edition, describes data mining techniques and shows how they work. The book is a major revision of the first edition that appeared in 1999. While the basic core remains the same, it has been updated to reflect the changes that have taken place over five years, and now has nearly double the references.
The highlights of this new edition include thirty new technique sections; an enhanced Weka machine learning workbench, which now features an interactive interface; comprehensive information on neural networks; a new section on Bayesian networks; and much more.
This text is designed for information systems practitioners, programmers, consultants, developers, information technology managers, specification writers as well as professors and students of graduate-level data mining and machine learning courses.
"synopsis" may belong to another edition of this title.
Ian H. Witten is a professor of computer science at the University of Waikato in New Zealand. He directs the New Zealand Digital Library research project. His research interests include information retrieval, machine learning, text compression, and programming by demonstration. He received an MA in Mathematics from Cambridge University, England; an MSc in Computer Science from the University of Calgary, Canada; and a PhD in Electrical Engineering from Essex University, England. He is a fellow of the ACM and of the Royal Society of New Zealand. He has published widely on digital libraries, machine learning, text compression, hypertext, speech synthesis and signal processing, and computer typography. He has written several books, the latest being Managing Gigabytes (1999) and Data Mining (2000), both from Morgan Kaufmann.
Eibe Frank lives in New Zealand with his Samoan spouse and two lovely boys, but originally hails from Germany, where he received his first degree in computer science from the University of Karlsruhe. He moved to New Zealand to pursue his Ph.D. in machine learning under the supervision of Ian H. Witten, and joined the Department of Computer Science at the University of Waikato as a lecturer on completion of his studies. He is now an associate professor at the same institution. As an early adopter of the Java programming language, he laid the groundwork for the Weka software described in this book. He has contributed a number of publications on machine learning and data mining to the literature and has refereed for many conferences and journals in these areas.>
"About this title" may belong to another edition of this title.
Shipping:
£ 4.71
Within U.S.A.
Book Description Condition: New. New. In shrink wrap. Looks like an interesting title! 2.35. Seller Inventory # Q-0120884070
Book Description Condition: New. Book is in NEW condition. Seller Inventory # 0120884070-2-1
Book Description Paperback. Condition: new. New. Fast Shipping and good customer service. Seller Inventory # Holz_New_0120884070
Book Description Condition: new. Seller Inventory # FrontCover0120884070
Book Description Paperback. Condition: new. New. Seller Inventory # Wizard0120884070
Book Description Paperback. Condition: new. New Copy. Customer Service Guaranteed. Seller Inventory # think0120884070
Book Description Condition: New. New! This book is in the same immaculate condition as when it was published. Seller Inventory # 353-0120884070-new
Book Description Paperback. Condition: Brand New. 2nd edition. 525 pages. 9.25x7.50x1.50 inches. In Stock. Seller Inventory # 0120884070