Privacy and Security Issues in Data Mining and Machine Learning [electronic resource] : International ECML/PKDD Workshop, PSDML 2010, Barcelona, Spain, September 24, 2010. Revised Selected Papers / edited by Christos Dimitrakakis, Aris Gkoulalas-Divanis, Aikaterini Mitrokotsa, Vassilios S. Verykios, Yücel Saygin.
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TextSeries: Lecture Notes in Computer Science ; 6549Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg, 2011Description: VII, 141 p. online resourceContent type: text Media type: computer Carrier type: online resourceISBN: 9783642198960Subject(s): Computer science | Database management | Artificial intelligence | Information Systems | Computer Science | Artificial Intelligence (incl. Robotics) | Database Management | Management of Computing and Information Systems | Computers and SocietyAdditional physical formats: Printed edition:: No titleDDC classification: 006.3 LOC classification: Q334-342TJ210.2-211.495Online resources: Click here to access online
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Springer eBooksSummary: This book constitutes the refereed proceedings of the International ECML/PKDD Workshop on Privacy and Security Issues in Data Mining and Machine Learning, PSDML 2010, held in Barcelona, Spain, in September 2010. The 11 revised full papers presented were carefully reviewed and selected from 21 submissions. The papers range from data privacy to security applications, focusing on detecting malicious behavior in computer systems.
E-BOOKS
| Current library | Home library | Call number | Materials specified | URL | Status | Date due | Barcode |
|---|---|---|---|---|---|---|---|
| IMSc Library | IMSc Library | Link to resource | Available | EBK9566 |
This book constitutes the refereed proceedings of the International ECML/PKDD Workshop on Privacy and Security Issues in Data Mining and Machine Learning, PSDML 2010, held in Barcelona, Spain, in September 2010. The 11 revised full papers presented were carefully reviewed and selected from 21 submissions. The papers range from data privacy to security applications, focusing on detecting malicious behavior in computer systems.
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