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Data mining

Most popular at the top

  • 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...

  • Text Miningby Sholom M. Weiss

    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...

  • Practical DMX Queries for Microsoft SQL Server Analysis Services 2008by Art Tennick

    McGraw-Hill Education 2010; US$ 50.00

    250+ Ready-to-Use, Powerful DMX Queries Transform data mining model information into actionable business intelligence using the Data Mining Extensions (DMX) language. Practical DMX Queries for Microsoft SQL Server Analysis Services 2008 contains more than 250 downloadable DMX queries you can use to extract and visualize data. The application,... more...

  • The Top Ten Algorithms in Data Miningby Xindong Wu; Vipin Kumar

    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...

  • Data Miningby Ian H. Witten; Eibe Frank; Mark A. Hall

    Elsevier Science 2011; US$ 69.95

    Data Mining: Practical Machine Learning Tools and Techniques offers a thorough grounding in machine learning concepts as well as practical advice on applying machine learning tools and techniques in real-world data mining situations. This highly anticipated third edition of the most acclaimed work on data mining and machine learning will teach... more...

  • 21 Recipes for Mining Twitterby Matthew A. Russell

    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...

  • Data Mining and Statistics for Decision Makingby Tuffé; Sté ry; phane

    Wiley 2011; US$ 99.95

    Data mining is the process of automatically searching large volumes of data for models and patterns using computational techniques from statistics, machine learning and information theory; it is the ideal tool for such an extraction of knowledge. Data mining is usually associated with a business or an organization's need to identify trends and profiles,... more...

  • Multimedia Information Extractionby Mark T. Maybury

    Wiley 2012; US$ 97.95

    The advent of increasingly large consumer collections of audio (e.g., iTunes), imagery (e.g., Flickr), and video (e.g., YouTube) is driving a need not only for multimedia retrieval but also information extraction from and across media. Furthermore, industrial and government collections fuel requirements for stock media access, media preservation, broadcast... more...

  • Dark Webby Hsinchun Chen

    Springer 2011; US$ 189.00

    The University of Arizona Artificial Intelligence Lab (AI Lab) Dark Web project is a long-term scientific research program that aims to study and understand the international terrorism (Jihadist) phenomena via a computational, data-centric approach. We aim to collect "ALL" web content generated by international terrorist groups, including... more...

  • Data Mining for Biomarker Discoveryby Panos M. Pardalos; Petros Xanthopoulos; Michalis Zervakis

    Springer 2012; US$ 124.00

    Biomarker discovery is an important area of biomedical research that may lead to significant breakthroughs in disease analysis and targeted therapy. Biomarkers are biological entities whose alterations are measurable and are characteristic of a particular biological condition. Discovering, managing, and interpreting knowledge of new biomarkers are... more...