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Data mining

Most popular at the top

  • Haskell Data Analysis Cookbookby Nishant Shukla

    Packt Publishing 2014; US$ 32.99

    Step-by-step recipes filled with practical code samples and engaging examples demonstrate Haskell in practice, and then the concepts behind the code. This book shows functional developers and analysts how to leverage their existing knowledge of Haskell specifically for high-quality data analysis. A good understanding of data sets and functional programming... more...

  • Reasoning Techniques for the Web of Databy A. Hogan

    IOS Press 2014; US$ 87.00

    Linked Data publishing has brought about a novel ?Web of Data?: a wealth of diverse, interlinked, structured data published on the Web. These Linked Datasets are described using the Semantic Web standards and are openly available to all, produced by governments, businesses, communities and academia alike. However, the heterogeneity of such data ? in... more...

  • Data Miningby Jiawei Han; Micheline Kamber; Jian Pei

    Elsevier Science 2006; US$ 16.95

    Our ability to generate and collect data has been increasing rapidly. Not only are all of our business, scientific, and government transactions now computerized, but the widespread use of digital cameras, publication tools, and bar codes also generate data. On the collection side, scanned text and image platforms, satellite remote sensing systems,... more...

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

    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...

  • 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...

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

    McGraw-Hill Education 2010; US$ 52.00

    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...

  • 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...

  • Imbalanced Learningby Haibo He; Yunqian Ma

    Wiley 2013; US$ 120.00

    The first book of its kind to review the current status and future direction of the exciting new branch of machine learning/data mining called imbalanced learning Imbalanced learning focuses on how an intelligent system can learn when it is provided with imbalanced data. Solving imbalanced learning problems is critical in numerous data-intensive... more...

  • Unervised Learningby Matthew Kyan; Paisarn Muneesawang; Kambiz Jarrah; Ling Guan

    Wiley 2014; US$ 125.00

    A new approach to unsupervised learning Evolving technologies have brought about an explosion of information in recent years, but the question of how such information might be effectively harvested, archived, and analyzed remains a monumental challenge—for the processing of such information is often fraught with the need for conceptual interpretation:... 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...