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Data mining

Most popular at the top

  • Data Mining with Computational Intelligenceby Lipo Wang

    Springer-Verlag Berlin and Heidelberg GmbH & Co. KG 2006; US$ 179.00

    Finding information hidden in data is as theoretically difficult as it is practically important. This book focuses on three main data mining tasks: data dimensionality reduction, classification, and rule extraction. It is targeted at researchers in both academia and industry, and also at graduate students and developers of data mining systems. more...

  • Multi-Relational Data Miningby A.J. Knobbe

    IOS Press 2006; US$ 85.00

    With the increased possibilities in modern society for companies and institutions to gather data cheaply and efficiently, the subject of Data Mining has become of increasing importance. This work looks into the different uses of Data Mining, covering the subject of Multi-Relational Data Mining (MRDM), the approach to Structured Data Mining. more...

  • MCSE 70-293 Exam Prepby Will Schmied

    Pearson Education 2006; US$ 51.99

    The MCSE 70-293 Exam Prep is the most accurate, comprehensive, and up-to-date study guide if you are preparing for one of the four core exams required of this popular Microsoft certification. Updated for R2 versions of the product and the exam, this book serves as both a learning and practice tool. Organized according to the exam objectives, which... more...

  • Mining Graph Databy Diane J. Cook; Lawrence B. Holder

    Wiley 2006; US$ 146.00

    This text takes a focused and comprehensive look at mining data represented as a graph, with the latest findings and applications in both theory and practice provided. Even if you have minimal background in analyzing graph data, with this book you’ll be able to represent data as graphs, extract patterns and concepts from the data, and apply the... more...

  • The Text Mining Handbookby Ronen Feldman; James Sanger

    Cambridge University Press 2006; US$ 75.00

    Covers text mining and link detection algorithms, pre-processing techniques, knowledge representation, visualization and applications. more...

  • Data Mining Using SAS Enterprise Minerby Randall Matignon

    Wiley 2007; US$ 126.00

    The most thorough and up-to-date introduction to data mining techniques using SAS Enterprise Miner. The Sample, Explore, Modify, Model, and Assess (SEMMA) methodology of SAS Enterprise Miner is an extremely valuable analytical tool for making critical business and marketing decisions. Until now, there has been no single, authoritative book that explores... more...

  • Natural Language Processing and Text Miningby Anne Kao; Steve R. Poteet

    Springer 2007; US$ 129.00

    Discusses applications of certain NLP techniques to certain Text Mining tasks, and the use of Text Mining to facilitate NLP. This book explores real-world applications of NLP and text-mining algorithms, emphasising on the description of end-to-end solutions, and detailing the associated difficulties related to the application of the algorithm. more...

  • Multimedia Data Mining and Knowledge Discoveryby Valery A. Petrushin; Latifur Khan

    Springer 2007; US$ 149.00

    Providing an overview of the field of multimedia data mining and knowledge discovery, this book describes the objectives and tendencies in multimedia data mining research and their applications. It features an introduction to multimedia data mining and its relevance, and presents a global perspective of the field and its various components. more...

  • Advanced Techniques in Knowledge Discovery and Data Miningby Nikhil R. Pal; L.C. Jain

    Springer 2007; US$ 179.00

    Presents advanced tools and techniques available for data and web mining strategies with chapters written by leading world experts. This book provides practicing engineers and scientists with case studies using approaches for data and web mining strategies, and research students with in-depth tutorials on the topics covered. more...

  • Understanding Complex Datasetsby David Skillicorn

    Taylor and Francis 2007; US$ 87.95

    Making obscure knowledge about matrix decompositions widely available, Understanding Complex Datasets: Data Mining with Matrix Decompositions discusses the most common matrix decompositions and shows how they can be used to analyze large datasets in a broad range of application areas. Without having to understand every mathematical detail, the book... more...