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Data mining

  • Mining Text Databy

    Springer New York 2012; US$ 149.00

    Covers Text Embedded with Heterogeneous and Multimedia Data All chapters contain a comprehensive survey including the key research content on the topic, and the future directions of research in the field This book simplifies the content, so that advanced-level students, practitioners and researchers in computer science can benefit from it more...

  • Data Mining for Geoinformaticsby

    Springer New York 2013; US$ 109.00

    Presents a series of geoinformatic techniques and methodologies to solve real world problems of important societal value Provides geoinformatic algorithms necessary to extract knowledge from massive amounts of geographically distributed data Bridges fields together such as GIS, statistics, machine learning, remote sensing, natural hazards, earth... more...

  • Computational Medicine in Data Mining and Modelingby

    Springer New York 2013; US$ 129.00

    Explains the latest cross-disciplinary research based on synergy of results that can be obtained with the different described approaches Demonstrates applications of data mining to the medical domain Includes case studies that illustrate imaging techniques more...

  • Learning Analyticsby

    Springer New York 2014; US$ 189.00

    Consolidates current Learning Analytics research into one volume Includes numerous examples of Learning Analytics implementations Provides strategies for integrating Learning Analytics at the classroom, departmental, and institutional level more...

  • Cluster Analysis for Data Mining and System Identificationby János Abonyi; Balázs Feil

    Springer 2007; US$ 139.00

    Identifies fuzzy cluster analysis as a good approach to solving complex data mining and system identification problems. This work illustrates how advanced fuzzy clustering algorithms can be used for partitioning of the data, and also for visualization, regression, classification and time-series analysis. more...

  • Real World Data Mining Applicationsby Mahmoud Abou-Nasr; Stefan Lessmann; Robert Stahlbock; Gary M. Weiss

    Springer International Publishing 2014; US$ 179.00

    Data mining applications range from commercial to social domains, with novel applications appearing swiftly; for example, within the context of social networks. The expanding application sphere and social reach of advanced data mining raise pertinent issues of privacy and security. Present-day data mining is a progressive multidisciplinary endeavor.... more...

  • Advances in Knowledge Discovery in Databasesby Animesh Adhikari; Jhimli Adhikari

    Springer International Publishing 2014; US$ 179.00

    This book presents recent advances in Knowledge discovery in databases (KDD) with a focus on the areas of market basket database, time-stamped databases and multiple related databases. Various interesting and intelligent algorithms are reported on data mining tasks. A large number of association measures are presented, which play significant roles... more...

  • Data Streamsby Charu C. Aggarwal

    Springer-Verlag New York Inc 2007; US$ 199.00

    Discusses issues related to the mining aspects of data streams. Each chapter in this book contains a survey on the topic, the key ideas in the field for that particular topic, and future research directions. It is intended for a professional audience composed of researchers and practitioners in industry. more...

  • Managing and Mining Graph Databy Charu C. Aggarwal; Haixun Wang

    Springer 2010; US$ 229.00

    Managing and Mining Graph Data is a comprehensive survey book in graph management and mining. It contains extensive surveys on a variety of important graph topics such as graph languages, indexing, clustering, data generation, pattern mining, classification, keyword search, pattern matching, and privacy. It also studies a number of domain-specific... more...

  • Privacy-Preserving Data Miningby Charu C. Aggarwal; Philip S. Yu

    Springer 2008; US$ 209.00

    Advances in hardware technology have increased the capability to store and record personal data about consumers and individuals, causing concerns that personal data may be used for a variety of intrusive or malicious purposes. Privacy-Preserving Data Mining: Models and Algorithms proposes a number of techniques to perform the data mining tasks in a... more...