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    1. Data och IT
    2. IT-säkerhet

    Privacy Preserving Data Mining

    AvJaideep Vaidya,Christopher W. Clifton

    Inbunden, Engelska, 2005

    Del i serien Advances in Information Security

    1 110 kr

    Beställningsvara. Skickas inom 10-15 vardagar. Fri frakt över 249 kr.

    Fler format och utgåvor

    Häftad

    1 113 kr

    Beskrivning

    Data mining has emerged as a significant technology for gaining knowledge from vast quantities of data. However, concerns are growing that use of this technology can violate individual privacy. These concerns have led to a backlash against the technology, for example, a "Data-Mining Moratorium Act" introduced in the U.S. Senate that would have banned all data-mining programs (including research and development) by the U.S. Department of Defense.Privacy Preserving Data Mining provides a comprehensive overview of available approaches, techniques and open problems in privacy preserving data mining. This book demonstrates how these approaches can achieve data mining, while operating within legal and commercial restrictions that forbid release of data. Furthermore, this research crystallizes much of the underlying foundation, and inspires further research in the area.Privacy Preserving Data Mining is designed for a professional audience composed of practitioners and researchers in industry. This volume is also suitable for graduate-level students in computer science.

    Produktinformation

    • Utgivningsdatum:2005-11-29
    • Mått:155 x 235 x 15 mm
    • Vikt:354 g
    • Format:Inbunden
    • Språk:Engelska
    • Serie:Advances in Information Security
    • Antal sidor:122
    • Upplaga:2006
    • Förlag:Springer-Verlag New York Inc.
    • ISBN:9780387258867

    Utforska kategorier

    • IT-säkerhet inom Data och IT

    Innehållsförteckning

    • Privacy and Data Mining.- What is Privacy?.- Solution Approaches / Problems.- Predictive Modeling for Classification.- Predictive Modeling for Regression.- Finding Patterns and Rules (Association Rules).- Descriptive Modeling (Clustering, Outlier Detection).- Future Research - Problems remaining.
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