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Most popular at the top
- World Scientific Publishing Company 2009; US$ 74.62
Researchers from various disciplines such as pattern recognition, statistics, and machine learning have explored the use of ensemble methodology since the late seventies. Thus, they are faced with a wide variety of methods, given the growing interest in the field. This book aims to impose a degree of order upon this diversity by presenting a coherent... more...
- Springer US 2006; US$ 209.22
Data Mining and Knowledge Discovery Handbook organizes all major concepts, theories, methodologies, trends, challenges and applications of data mining (DM) and knowledge discovery in databases (KDD) into a coherent and unified repository. This book first surveys, then provides comprehensive yet concise algorithmic descriptions of methods, including... more...
- Springer US 2007; US$ 85.98
This book introduces soft computing methods extending the envelope of problems that data mining can solve efficiently. It presents practical soft-computing approaches in data mining and includes various real-world case studies with detailed results. more...
- Springer US 2010; US$ 264.56
Updated and revised, Data Mining and Knowledge Discovery Handbook , 2nd Edition, presents the concepts, theories, challenges and applications of data mining (DM) and knowledge discovery in databases (KDD). The text includes over 25 new topics, new case studies based on real-word examples, and more. more...
- World Scientific Publishing Company 2007; US$ 96.46
This is the first comprehensive book dedicated entirely to the field of decision trees in data mining and covers all aspects of this important technique. Decision trees have become one of the most powerful and popular approaches in knowledge discovery and data mining, the science and technology of exploring large and complex bodies of data in order... more...
- World Scientific Publishing Company 2014; US$ 80.08
Decision trees have become one of the most powerful and popular approaches in knowledge discovery and data mining; it is the science of exploring large and complex bodies of data in order to discover useful patterns. Decision tree learning continues to evolve over time. Existing methods are constantly being improved and new methods introduced. This... more...
- Springer New York 2012; US$ 38.16
SpringerBriefs present concise summaries of cutting-edge research and practical applications across a wide spectrum of fields. Featuring compact volumes of 50 to 100 pages (approximately 20,000- 40,000 words), the series covers a range of content from professional to academic. Briefs allow authors to present their ideas and readers to absorb them with... more...
- Springer US 2015; US$ 176.73
This second edition of a well-received text, with 20 new chapters, presents a coherent and unified repository of recommender systems? major concepts, theories, methodologies, trends, and challenges. A variety of real-world applications and detailed case studies are included. In addition to wholesale revision of the existing chapters, this edition... more...
- Springer US 2010; US$ 162.40
This multi-disciplinary volume features contributions from experts in fields as various as artificial intelligence and consumer behavior. It covers the key concepts in recommender systems and includes real-world applications and detailed case studies. more...
- Springer New York 2014; US$ 45.68
This book explores a proactive and domain-driven method to classification tasks. This novel proactive approach to data mining not only induces a model for predicting or explaining a phenomenon, but also utilizes specific problem/domain knowledge to suggest specific actions to achieve optimal changes in the value of the target attribute. In particular,... more...