Data mining : concepts and techniques
Material type: TextPublication details: San Francisco : Morgan Kaufmann, 2006.Edition: 2nd edDescription: xxviii, 770 pages : illustrations ; 24 cmISBN:- 9788131205358
- 8131205355
- Information technology
- Data mining
- Artificial intelligence
- Artificial intelligence -- Data processing
- Neural networks (Computer science)
- Data Mining
- Artificial Intelligence
- Neural Networks, Computer
- information technology
- artificial intelligence
- Artificial intelligence
- Artificial intelligence -- Data processing
- Data mining
- Information technology
- Neural networks (Computer science)
- 005.741 HAN
Item type | Current library | Collection | Call number | Status | Date due | Barcode | |
---|---|---|---|---|---|---|---|
Books | Botho University Botswana Open Shelves | Information Technology | 005.741 HAN (Browse shelf(Opens below)) | Available | BC-LIB06362 | ||
Books | Botho University Botswana Open Shelves | Information Technology | 005.741 HAN (Browse shelf(Opens below)) | Available | BC-LIB02169 | ||
Books | Botho University eSwatini Open Shelves | Information Technology | 005.741 HAN (Browse shelf(Opens below)) | Available | NIIT02171 |
"Here's the resource you need if you want to apply today's most powerful data mining techniques to meet real business challenges. Data Mining: Concepts and Techniques equips you with a sound understanding of data mining principles and teaches you proven methods for knowledge discovery in large corporate databases." "Written expressly for database practitioners and professionals, this book begins with a conceptual introduction designed to get you up to speed. This is followed by a comprehensive and state-of-the-art coverage of data mining concepts and techniques. Each chapter functions as a stand alone guide to a critical topic, presenting proven algorithms and sound implementations ready to be used directly or with strategic modification against live data. Wherever possible, the authors raise and answer questions of utility, feasibility, optimization, and scalability, keeping your eye on the issues that will affect your project's results and your overall success." "Data Mining: Concepts and Techniques is the master reference that practitioners and researchers have long been seeking. It is also the obvious choice for academic and professional classrooms."--BOOK JACKET.
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