Privacy, Security, and Trust in KDD
Editat de Francesco Bonchi, Elena Ferrari, Wei Jiang, Bradley Malinen Limba Engleză Paperback – 25 mai 2009
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Specificații
ISBN-13: 9783642017179
ISBN-10: 3642017177
Pagini: 140
Ilustrații: IX, 127 p.
Dimensiuni: 155 x 235 x 8 mm
Greutate: 0.22 kg
Ediția:2009
Editura: Springer
Locul publicării:Berlin, Heidelberg, Germany
ISBN-10: 3642017177
Pagini: 140
Ilustrații: IX, 127 p.
Dimensiuni: 155 x 235 x 8 mm
Greutate: 0.22 kg
Ediția:2009
Editura: Springer
Locul publicării:Berlin, Heidelberg, Germany
Public țintă
ResearchCuprins
Invited Paper.- Data Mining for Security Applications and Its Privacy Implications.- Geocode Matching and Privacy Preservation.- Mobility, Data Mining and Privacy the Experience of the GeoPKDD Project.- Contributed Papers.- Data and Structural k-Anonymity in Social Networks.- Composing Miners to Develop an Intrusion Detection Solution.- Malicious Code Detection Using Active Learning.- Maximizing Privacy under Data Distortion Constraints in Noise Perturbation Methods.- Strategies for Effective Shilling Attacks against Recommender Systems.
Textul de pe ultima copertă
This book constitutes the thoroughly refereed post-workshop proceedings of the Second International Workshop on Privacy, Security, and Trust in KDD, PinKDD 2008, held in Las Vegas, NV, USA, in March 2008 in conjunction with the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD 2008.
The 5 revised full papers presented together with 1 invited keynote lecture and 2 invited panel sessions were carefully reviewed and selected from numerous submissions. The papers are extended versions of the workshop presentations and incorporate reviewers' comments and discussions at the workshop and represent the diversity of data mining research issues in privacy, security, and trust as well as current work on privacy issues in geographic data mining.
The 5 revised full papers presented together with 1 invited keynote lecture and 2 invited panel sessions were carefully reviewed and selected from numerous submissions. The papers are extended versions of the workshop presentations and incorporate reviewers' comments and discussions at the workshop and represent the diversity of data mining research issues in privacy, security, and trust as well as current work on privacy issues in geographic data mining.