The IEEE ICDM 6th International Workshop on 
		     Privacy Aspects of Data Mining 
			     (PADM '07)
                October 28, 2007, Omaha, NE, USA
      	       URL: http://cimic.rutgers.edu/~padm

Privacy aspects of data mining have an important impact on many data
analysis applications. In particular, privacy has attracted a lot of
attention due to the growth of e-commerce, e-business, e-government,
and e-health services. In these electronic services, privacy issues
arise because many users have concern about how and where their data
and information about their activities will be used. Conversely,
technology allows service providers to easily track an individual's
actions, behaviors, and habits. Given large data collections of
person-specific information, providers can mine data to learn
patterns, models, and trends that can be used to provide personalized
services. The potential benefits of data mining are substantial, but
the collection and analysis of sensitive personal data also creates
concerns about privacy, data security, and intellectual property

The aim of the workshop is to bring together researchers and
practitioners interested in the privacy aspects of data mining, both
by from a technical perspective and from social and legal
perspectives. We hope to attract interest across a wide range of
possible data mining subareas, including: web mining, medical data
mining, spatio-temporal data mining, ubiquitous knowledge discovery,
stream data mining, multimedia mining, and obviously,
privacy-preserving data mining. Researchers from both academia and
industry are invited to submit papers presenting novel research on
these topics of interest. 

Topics of interest include but are not limited to:
- Cryptographic tools for privacy preserving data mining 
- Inference and disclosure control for data mining 
- Learning algorithms for randomized/perturbed data 
- Legal and regulatory frameworks for data mining and privacy 
- Privacy and anonymity in e-commerce and user profiling 
- Privacy aspects of business processes and enterprise management 
- Privacy aspects of geographic, spatial, and temporal data 
- Privacy aspects of ubiquitous computing systems 
- Privacy enhancement technologies in web environments 
- Privacy policy infrastructure, enforcement, and analysis 
- Privacy preserving link and social network analysis 
- Privacy preserving applications for homeland security 
- Privacy preserving data integration 
- Privacy protection in fraud and identify theft prevention 
- Privacy threats due to data mining 
- Biomedical and healthcare data mining research privacy 
- Query systems and access control 
- Trust management for data mining 

Important dates
o June 22, 2007: Submission deadline
o August 1, 2007: Author notification
o August 17, 2007: Submission of Camera-ready papers
o October 28, 2007: Workshop Date

Paper Submission
Paper submissions should be limited to a maximum of 6 pages in the
IEEE 2-column format, the same as the camera-ready format (see the
IEEE Computer Society Press Proceedings Author Guidelines). All papers
will be reviewed by at least 2 program committee members for their
technical merit, originality, significance, and relevance to the
workshop. The papers must be in English and should be formatted
according to the IEEE CS press guidelines. Accepted papers will be
published in the proceedings by the IEEE Computer Society Press.

Papers are submitted electronically on the ICDM 07 paper submission
page. Follow the link to Workshop/Paper submission and then select
"Workshop #6: Privacy Aspects of Data Mining". 

ICDM will adopt a "forward to workshops" mechanism this year, where a
paper not accepted for the main conference can be (at the author's
request) "fast-tracked" to a workshop, preserving reviews.
Consequently, double submission to ICDM main conference is allowed.
However, the author must notify the workshop co-chairs that the same
paper has been submitted to ICDM main conference. 

Program Chairs
Rebecca Wright, Stevens Institute of Technology and Rutgers University,
Jaideep Vaidya, Rutgers University, NJ, USA 
Stanley Oliveira, Embrapa, Brazil 

Program Committee
Justin Brickell, University of Texas at Austin, USA 
Barbara Carminati, University of Insubria, Italy 
Ping Chen, University of Houston-Downtown, USA 
Ricardo Dahab, State University of Campinas, Brazil 
Csilla Farkas, University of South Carolina, USA 
Hillol Kargupta, University of Maryland Baltimore County, USA 
Wagner Meira Junior, Federal University of Minas Gerais, Brazil 
Taneli Mielikäinen, Nokia Research Center, Palo Alto, USA 
Kobbi Nissim, Ben-Gurion University, Israel 
Benny Pinkas, University of Haifa, Israel 
Yücel Saygin, Sabanci University, Turkey 
Aleksandra B. Slavkovic, Penn State University, USA 
Adam Smith, Pennsylvania State University, USA 
Vassilis Verykios, University of Thessaly, Greece 
Danfeng Yao, Brown University, USA 
Justin Zhan, Carnegie Mellon University, USA 

For additional information, please visit the Workshop web site at:
For inquiries, please contact us at: padm@cimic.rutgers.edu