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Data Mining

Most popular at the top

  • Numeric Computation and Statistical Data Analysis on the Java Platformby Sergei V. Chekanov

    Springer International Publishing 2016; US$ 99.00

    Numericalcomputation, knowledge discovery and statistical data analysis integrated withpowerful 2D and 3D graphics for visualization are the key topics of this book. ThePython code examples powered by the Java platform can easily be transformed toother programming languages, such as Java, Groovy, Ruby and BeanShell. Thisbook equips the reader with... more...

  • Recommender Systemsby Charu C. Aggarwal

    Springer International Publishing 2016; US$ 69.99

    Thisbook comprehensively covers the topic of recommender systems, which providepersonalized recommendations of products or services to users based on theirprevious searches or purchases. Recommender system methods have been adapted todiverse applications including query log mining, social networking, newsrecommendations, and computational advertising.... more...

  • Relational Database Design and Implementationby Jan L. Harrington

    Elsevier Science 2016; US$ 59.95

    Relational Database Design and Implementation: Clearly Explained, Fourth Edition, provides the conceptual and practical information necessary to develop a database design and management scheme that ensures data accuracy and user satisfaction while optimizing performance. Database systems underlie the large majority of business information systems.... more...

  • Pro Power BI Desktopby Adam Aspin

    Apress 2016; US$ 49.99

    This book shows how to deliver eye-catching Business Intelligence with Microsoft Power BI Desktop. You can now take data from virtually any source and use it to produce stunning dashboards and compelling reports that will seize your audience?s attention. Slice and dice the data with remarkable ease then add metrics and KPIs to project the insights... more...

  • Pervasive Computingby Ciprian Dobre; Fatos Xhafa

    Elsevier Science 2016; US$ 130.00

    Pervasive Computing: Next Generation Platforms for Intelligent Data Collection presents current advances and state-of-the-art work on methods, techniques, and algorithms designed to support pervasive collection of data under ubiquitous networks of devices able to intelligently collaborate towards common goals. Using numerous illustrative examples... more...

  • Practical Data Analysis Cookbookby Tomasz Drabas

    Packt Publishing 2016; US$ 39.99

    Over 60 practical recipes on data exploration and analysis About This Book: Clean dirty data, extract accurate information, and explore the relationships between variables; Forecast the output of an electric plant and the water flow of American rivers using pandas, NumPy, Statsmodels, and scikit-learn; Find and extract the most important features from... more...

  • Apache Hive Cookbookby Hanish Bansal; Saurabh Chauhan; Shrey Mehrotra

    Packt Publishing 2016; US$ 35.99

    Easy, hands-on recipes to help you understand Hive and its integration with frameworks that are used widely in today's big data world About This Book: Grasp a complete reference of different Hive topics.; Get to know the latest recipes in development in Hive including CRUD operations; Understand Hive internals and integration of Hive with different... more...

  • Formative Assessment, Learning Data Analytics and Gamificationby Santi Caballé; Robert Clarisó

    Elsevier Science 2016; US$ 130.00

    Formative Assessment, Learning Data Analytics and Gamification: An ICT Education discusses the challenges associated with assessing student progress given the explosion of e-learning environments, such as MOOCs and online courses that incorporate activities such as design and modeling. This book shows educators how to effectively garner intelligent... more...

  • Exploratory Causal Analysis with Time Series Databy James M. McCracken

    Morgan & Claypool Publishers 2016; US$ 44.00

    Many scientific disciplines rely on observational data of systems for which it is difficult (or impossible) to implement controlled experiments. Data analysis techniques are required for identifying causal information and relationships directly from such observational data. This need has led to the development of many different time series causality... more...

  • Querying and Mining Uncertain Data Streamsby Cheqing Jin; Aoying Zhou

    World Scientific Publishing Company 2016; US$ 46.00

    Data uncertainty widely exists in many applications, and an uncertain data stream is a series of uncertain tuples that arrive rapidly. However, traditional techniques for deterministic data streams cannot be applied to deal with data uncertainty directly due to the exponential growth of possible solution space. This book provides a comprehensive overview... more...