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Most popular at the top

  • Data Streamsby Charu C. Aggarwal

    Springer US 2007; US$ 165.10

    This book primarily discusses issues related to the mining aspects of data streams and it is unique in its primary focus on the subject. It is intended for a professional audience, but is also appropriate for advanced-level students in computer science. more...

  • Managing and Mining Uncertain Databy Charu C. Aggarwal

    Springer US 2010; US$ 129.72

    This collection of surveys presents the most recent models, algorithms and applications in mining uncertain data. Organized to make it more accessible to applications-driven practitioners, it includes case studies based on real-world examples. more...

  • Social Network Data Analyticsby Charu C. Aggarwal

    Springer US 2011; US$ 165.10

    Filling an important niche in the field, this book covers a range of aspects of social network data mining, including Structural Properties of Social Networks, Algorithms for Structural Discovery of Social Networks and Content Analysis in Social Networks. more...

  • Managing and Mining Sensor Databy Charu C. Aggarwal

    Springer US 2013; US$ 129.72

    Advances in hardware technology have lead to an ability to collect data with the use of a variety of sensor technologies. In particular sensor notes have become cheaper and more efficient, and  have even been integrated into day-to-day devices of use, such as mobile phones. This has lead to a much larger scale of applicability and mining of sensor... more...

  • Outlier Analysisby Charu C. Aggarwal

    Springer New York 2013; US$ 100.24

    With the increasing advances in hardware technology for data collection, and advances in software technology (databases) for data organization, computer scientists have increasingly participated in the latest advancements of the outlier analysis field. Computer scientists, specifically, approach this field based on their practical experiences in managing... more...

  • Data Classificationby Charu C. Aggarwal

    CRC Press 2015; US$ 92.95

    Comprehensive Coverage of the Entire Area of Classification Research on the problem of classification tends to be fragmented across such areas as pattern recognition, database, data mining, and machine learning. Addressing the work of these different communities in a unified way, Data Classification: Algorithms and Applications explores the underlying... more...

  • Data Miningby Charu C. Aggarwal

    Springer International Publishing 2015; US$ 70.75

    This textbook explores the different aspects of data mining from the fundamentals to the complex data types and their applications, capturing the wide diversity of problem domains for data mining issues. It goes beyond the traditional focus on data mining problems to introduce advanced data types such as text, time series, discrete sequences, spatial... more...

  • Recommender Systemsby Charu C. Aggarwal

    Springer International Publishing 2016; US$ 70.75

    This book comprehensively covers the topic of recommender systems, which provide personalized recommendations of products or services to users based on their previous searches or purchases. Recommender system methods have been adapted to diverse applications including query log mining, social networking, news recommendations, and computational advertising.... more...

  • Outlier Analysisby Charu C. Aggarwal

    Springer International Publishing 2016; US$ 70.75

    This book provides comprehensive coverage of the field of outlier analysis from a computer science point of view. It integrates methods from data mining, machine learning, and statistics within the computational framework and therefore appeals to multiple communities. The chapters of this book can be organized into three categories: Basic algorithms:... more...

  • Mining Text Databy Charu C. Aggarwal; ChengXiang Zhai

    Springer New York 2012; US$ 106.13

    Text mining applications have experienced tremendous advances because of web 2.0 and social networking applications. Recent advances in hardware and software technology have lead to a number of unique scenarios where text mining algorithms are learned. Mining Text Data introduces an important niche in the text analytics field, and is an edited volume... more...