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Data mining

Most popular at the top

  • 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...

  • 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...

  • 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...

  • Data Preparation for Data Mining Using SASby Mamdouh Refaat

    Elsevier Science 2010; US$ 86.95

    Are you a data mining analyst, who spends up to 80% of your time assuring data quality, then preparing that data for developing and deploying predictive models? And do you find lots of literature on data mining theory and concepts, but when it comes to practical advice on developing good mining views find little ?how to” information? And are you, like... more...

  • Microsoft Data Miningby Barry de Ville

    Elsevier Science 2001; US$ 79.95

    Microsoft Data Mining approaches data mining from the particular perspective of IT professionals using Microsoft data management technologies. The author explains the new data mining capabilities in Microsoft's SQL Server 2000 database, Commerce Server, and other products, details the Microsoft OLE DB for Data Mining standard, and gives readers best... 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...

  • Adaptive Web Sitesby J.D. Velásquez; V. Palade

    IOS Press 2008; US$ 161.00

    This book can be presented in two different ways; introducing a particular methodology to build adaptive Web sites and; presenting the main concepts behind Web mining and then applying them to adaptive Web sites. In this case, adaptive Web sites is the case study to exemplify the tools introduced in the text. The authors start by introducing the Web... 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...