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- Springer-Verlag New York Inc 2006; US$ 169.00
Agent Intelligence Through Data Mining' unifies and integrates methodology, and provides the ability to infuse knowledge extracted by the use of data mining techniques into agents and multi-agent systems (MAS). more...
- Springer 2006; US$ 169.00
Knowledge discovery takes the raw results from data mining (the process of extracting trends or patterns from data) and transforms them into useful and understandable information. This book covers introductory material on the knowledge discovery process, advanced issues, and tools and techniques. more...
- Springer-Verlag New York Inc 2006; US$ 295.00
Organizes major concepts, theories, methodologies, trends, challenges and applications of data mining (DM) and knowledge discovery in databases (KDD). This book provides algorithmic descriptions of classic methods, and also suitable for professionals in fields such as computing applications, information systems management, and more. more...
- Springer-Verlag New York Inc 2006; US$ 249.00
Gives the reader a perspective into the theory and practice of Data Mining and Knowledge Discovery (DM and KD). This book combines many theoretical foundations for various DM and KD methods, as well as offering examples. more...
- Springer 2006; US$ 189.00
Focuses on efficient visualization techniques. Other aspects discussed in this book include parallelization on cluster computers with GPUs, adaptive rendering methods, multi-resolution models, and non-photorealistic rendering techniques for visualization. This book provides a basis to understand modern GPU-based visualization approaches. more...
- Springer 2007; US$ 109.00
The proliferation of digital computing devices and their use in communication has resulted in an increased demand for systems and algorithms capable of mining textual data. Thus, the development of techniques for mining unstructured, semi-structured, and fully-structured textual data has become increasingly important in both academia and industry.... more...
- Springer 2007; US$ 169.00
Understanding sequence data, and the ability to utilize this hidden knowledge, creates a significant impact on many aspects of our society. Examples of sequence data include DNA, protein, customer purchase history, web surfing history, and more. Sequence Data Mining provides balanced coverage of the existing results on sequence data mining, as well... more...
- Springer 2010; US$ 129.00
Text mining searches for regularities, patterns or trends in natural language text. This book focuses on the concepts and methods needed to expand horizons beyond structured, numeric data to automated mining of text samples. It is for researchers, computer scientists, and advanced undergraduates and graduates. more...
- Taylor and Francis 2009; US$ 96.95
Identifying some of the most influential algorithms that are widely used in the data mining community, The Top Ten Algorithms in Data Mining provides a description of each algorithm, discusses its impact, and reviews current and future research. Thoroughly evaluated by independent reviewers, each chapter focuses on a particular algorithm and is... more...
- O'Reilly Media 2011; US$ 16.99
Millions of public Twitter streams harbor a wealth of data, and once you mine them, you can gain some valuable insights. This short and concise book offers a collection of recipes to help you extract nuggets of Twitter information using easy-to-learn Python tools. Each recipe offers a discussion of how and why the solution works, so you can quickly... more...