Description
| Summary: | This book explains the knowledge discovery and data mining (KDDM) process in a manner that makes it easy for readers to implement. It details powerful strategies, models, and techniques for managing the full cycle of knowledge discovery projects. It supplies a process-centric view of how to implement successful data mining projects through the use of the KDDM process and discusses the implications of data mining including security, privacy, ethical and legal considerations. This resource includes case study examples of KDDM in businesses and governments; details key requirements for developing robust data mining objectives that are aligned with strategic business objectives; outlines critical success factors for KDDM projects as well as the impact of poor quality data or inaccessibility to data on KDDM projects. --
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| Physical Description: | 1 online resource (xviii, 375 pages) |
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| Bibliography: | Includes bibliographical references. |
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| ISBN: | 9781482212389
1482212382
9781336194304
1336194308 |
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| Language: | English. |
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| Source of Description, Etc. Note: | Vendor-supplied metadata. |
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