| Introduction to Data Mining Revised Edition Contributor(s): Tan, Pang-Ning (Author), Steinbach, Michael (Author), Kumar, Vipin (Author) |
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ISBN: 0133128903 ISBN-13: 9780133128901 Publisher: Pearson OUR PRICE: $151.99 Product Type: Hardcover Published: January 2018 |
| Additional Information |
| BISAC Categories: - Computers | Databases - Data Warehousing |
| Dewey: 006.312 |
| LCCN: 2017048641 |
| Series: What's New in Computer Science |
| Physical Information: 1.9" H x 7.7" W x 9.3" (3.70 lbs) 864 pages |
| Descriptions, Reviews, Etc. |
| Publisher 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. KEY TOPICS: Provides both theoretical and practical coverage of all data mining topics. Includes extensive number of integrated examples and figures. Topics covered include; predictive modeling, association analysis, clustering, anomaly detection, visualization. MARKET: Suitable for individuals seeking an introduction to data mining. The text assumes only a modest statistics or mathematics background, and no database knowledge is needed. |