PADM 2010 - IEEE International Workshop on Privacy Aspects of Data Mining

The workshop’s topics of interest include, but are not limited to, the following areas:

Biomedical and healthcare data mining privacy
Cryptographic approaches for privacy preserving data mining
Data mining for intrusion detection, fraud and identity theft prevention
Privacy preserving data publishing and anonymity
Knowledge hiding methodologies
Inference and disclosure control for data mining
Privacy in e-commerce and user profiling
Privacy-aware access control
Privacy and security when mining outsourced data
Privacy aspects of ubiquitous computing systems
Privacy policy infrastructure, enforcement, and analysis
Privacy-preserving link and social-network analysis
Privacy-preserving data integration and record linkage
Privacy threats due to data mining
Security and privacy issues in mobility and spatiotemporal data mining
Link and friend-of-a-friend (FOAF) mining for trust
Efficiency improvements to known privacy preserving analytics algorithms
Case studies of practical privacy preserving data analytics
Submission Instructions

Paper submissions should be limited to a maximum of 10 pages in the IEEE 2-column format (http://www.computer.org/portal/web/cscps/formattin...). All papers will be double-blind reviewed by the Program Committee on the basis of technical quality, relevance to data mining, originality, significance, and clarity. Papers that have already been accepted or are currently under review for other conferences or journals will not be considered for PADM 2010.

The authors of a small number of selected (best) papers from the workshop will be invited to prepare a substantially revised and extended version of their work for publication to a special issue of a journal (to be announced).

All papers must be submitted through the ICDM Workshop Submission Site. Please ensure that you follow the submission guidelines to allow for a blind review.