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Data Mining

Most popular at the top

  • 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...

  • 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...

  • Multilabel Classificationby Francisco Herrera; Francisco Charte; Antonio J. Rivera; María J. del Jesus

    Springer International Publishing 2016; US$ 112.57

    This book offers a comprehensive review of multilabel techniques widely used to classify and label texts, pictures, videos and music in the Internet. A deep review of the specialized literature on the field includes the available software needed to work with this kind of data. It provides the user with the software tools needed to deal with multilabel... more...

  • Large Scale Machine Learning with Pythonby Bastiaan Sjardin; Luca Massaron; Alberto Boschetti

    Packt Publishing 2016; US$ 39.99

    Learn to build powerful machine learning models quickly and deploy large-scale predictive applications About This Book: Design, engineer and deploy scalable machine learning solutions with the power of Python; Take command of Hadoop and Spark with Python for effective machine learning on a map reduce framework; Build state-of-the-art models and develop... more...

  • Introduction to Artificial Intelligenceby Mariusz Flasinski

    Springer International Publishing 2016; US$ 65.31

    In the chapters in Part I of this textbook the author introduces the fundamental ideas of artificial intelligence and computational intelligence. In Part II he explains key AI methods such as search, evolutionary computing, logic-based reasoning, knowledge representation, rule-based systems, pattern recognition, neural networks, and cognitive architectures.... more...