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Data mining

Most popular at the top

  • Data Mining and Knowledge Discovery Approaches Based on Rule Induction Techniquesby Evangelos Triantaphyllou; Giovanni Felici

    Springer-Verlag New York Inc 2006; US$ 209.00

    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...

  • Data Streamsby Charu C. Aggarwal

    Springer-Verlag New York Inc 2007; US$ 179.00

    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...

  • Preserving Privacy for On-line Analytical Processing (OLAP)by Lingyu Wang; Sushil Jajodia; Duminda Wijesekera

    Springer-Verlag New York Inc 2007; US$ 149.00

    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...

  • GPU-Based Interactive Visualization Techniquesby Daniel Weiskopf

    Springer 2006; US$ 179.00

    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...

  • Survey of Text Mining 2by Michael W. Berry; Malu Castellanos

    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...

  • Sequence Data Miningby Guozhu Dong; Jian Pei

    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...

  • Data Mining with Microsoft SQL Server 2008by Jamie MacLennan; ZhaoHui Tang; Bogdan Crivat

    Wiley 2011; US$ 50.00

    Understand how to use the new features of Microsoft SQL Server 2008 for data mining by using the tools in Data Mining with Microsoft SQL Server 2008 , which will show you how to use the SQL Server Data Mining Toolset with Office 2007 to mine and analyze data. Explore each of the major data mining algorithms, including naive bayes, decision trees,... more...

  • Computational Framework for Knowledgeby Syed V. Ahamed

    Wiley 2009; US$ 177.00

    "Intriguing . . . [filled with] new ideas about overarching intellectual themes that govern our technologies and our society." — Nikil Jayant , Eminent Scholar, Georgia Research Alliance "Dr. Ahamed is correct in observing that 'silicon and glass have altered the rhythm of mind' and that computers need to be more 'human.'" — Bishnu S. Atal... more...

  • Handbook of Statistical Analysis and Data Mining Applicationsby Robert Nisbet; IV John Elder; Gary Miner

    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...

  • Text Miningby Michael W. Berry; Jacob Kogan

    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...