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Hardcover. Condition: Good. No Jacket. Former library book; Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less 2.94.
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Seller: ThriftBooks-Atlanta, AUSTELL, GA, U.S.A.
Paperback. Condition: Very Good. No Jacket. May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less 2.27.
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Seller: WeBuyBooks, Rossendale, LANCS, United Kingdom
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Add to basketCondition: Good. Most items will be dispatched the same or the next working day. A copy that has been read but remains in clean condition. All of the pages are intact and the cover is intact and the spine may show signs of wear. The book may have minor markings which are not specifically mentioned.
Seller: booksdeck, Westlake Village, CA, U.S.A.
Softcover. Condition: New. Brand new book. International edition printed overseas but with similar contents as compared to the US edition. Same day shipping with tracking.
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Seller: Readify Books, Wilmington, DE, U.S.A.
Paperback. Condition: NEW. International Edition, Brand New, ISBN and Cover same but contents similar to U.S. Edition, We ship from multiple Locations including India. Legal to use despite any disclaimer, We ship to PO , APO and FPO adresses in U.S.A. Ship from multiple Locations including India Choose Expedited Shipping for FASTER DELIVERY.Customer Satisfaction Guaranteed. 1.10.
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Published by Pearson Education, Harlow, Essex, England, 2014
ISBN 10: 1292026154 ISBN 13: 9781292026152
Language: English
Seller: Books of the World, Arlington, VA, U.S.A.
First Edition
Trade Paperback. Condition: Fine. 1st Edition. Pearson Education, 2014. Trade Paperback. Fine. Interior pristine. Spine straight, tight and uncreased. Light corner wear. Not from a library. No remainder mark. 732 pages. Introduction to Data Mining presents fundamental concepts and algorithms for those learning data mining for the first time. 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.
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Seller: SecondSale, Montgomery, IL, U.S.A.
Condition: Good. Good condition international edition textbook.
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Published by Pearson Education Inc as Addison-Wesley, 2006
ISBN 10: 7115141444 ISBN 13: 9787115141446
Seller: SecondSale, Montgomery, IL, U.S.A.
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Published by Machinery Industry Press, 2000
ISBN 10: 7111316703 ISBN 13: 9787111316701
Seller: liu xing, Nanjing, JS, China
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Add to basketpaperback. 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.
Seller: liu xing, Nanjing, JS, China
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Add to basketpaperback. 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 .
Seller: liu xing, Nanjing, JS, China
US$ 152.33
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Add to basketpaperback. 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.