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- 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$ 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 2007; US$ 199.00
Discusses issues related to the mining aspects of data streams. Each chapter in this book contains a survey on the topic, the key ideas in the field for that particular topic, and future research directions. It is intended for a professional audience composed of researchers and practitioners in industry. more...
- Springer-Verlag New York Inc 2007; US$ 169.00
Addresses the privacy issue of On-Line Analytic Processing systems(OLAP). This work details how to keep the performance overhead of these security methods at a reasonable level. It also examines how a balance between security, availability, and performance can feasibly be achieved in OLAP systems. 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...
- Elsevier Science 2009; US$ 92.95
The Handbook of Statistical Analysis and Data Mining Applications is a comprehensive professional reference book that guides business analysts, scientists, engineers and researchers (both academic and industrial) through all stages of data analysis, model building and implementation. The Handbook helps one discern the technical and business problem,... more...
- Wiley 2010; US$ 101.95
Text Mining: Applications and Theory presents the state-of-the-art algorithms for text mining from both the academic and industrial perspectives. The contributors span several countries and scientific domains: universities, industrial corporations, and government laboratories, and demonstrate the use of techniques from machine learning, knowledge... 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...