Workshop on Privacy Aspects of Data Mining
Call for papers
This workshop intends to explore novel development and solutions of the privacy
aspects of data mining. Privacy is essential for the provision of electronic and
knowledge-based services in modern e-business, e-commerce, e-government, and
e-health environments. Currently, service providers can track an individual's
actions, behaviors, and habits. Given large data collections of person-specific
information, service providers can extract patterns, models, and trends specific
for those users and can be used to provide personalized services. The
prospective benefits of data mining are generous, but it is apparent that the
collection and analysis of sensitive personal data arouses concerns about
citizens' privacy, confidentiality and freedom.
When addressed at a technical level, privacy-awareness fosters the diffusion of
emerging knowledge-based applications. Obtaining the potential benefits of data
mining with a privacy-aware technology can enable a wider social acceptance of a
multitude of new services and applications based on the knowledge discovery
process. Source data of particular importance include, for instance, biomedical
patient data, web usage log data, mobility data from wireless and sensor
networks: in each case there exist substantial privacy threats, as well as a
potential usefulness of knowledge discovered from these data.
Privacy protection in data mining is a key issue that has captured the attention
of many researchers and administrators across a large number of application
domains. Despite such efforts there are still many open issues that deserve
further investigation. The workshop is intended for gathering researchers,
experts, and practitioners interested in the privacy aspects of data mining,
both by a technical, and a social and legal point of views. We hope to attract
interest from a wide range of possible data mining subareas, including: web
mining, medical data mining, spatio-temporal data mining, ubiquitous knowledge
discovery, and obviously, privacy-preserving data mining.
Submission
Innovations 2009 seeks original full-length (5 pages maximum) paper proposals
describing research in all areas of Information Technology that contributes to
the conference theme. All papers will be peer reviewed and acceptance will be
based on quality, relevance and originality. Submissions for tutorials and
special sessions are also welcome. The submission guidelines can be found on the
conference website:
http://www.it-innovations.ae/
Important Dates
Paper and poster
submissions due: September 23, 2009
Notification of acceptance:
October 15, 2009
Final camera ready paper
due: November 2, 2009
Organizing Committee
Dr. Mamoun Awad
Workshop Co-chair
UAE Univ., UAE
Dr. Ismail Hababeh
Workshop Co-chair
UAE Univ., UAE
Contact Information
For any inquiries please
contact the Workshops Chair: Dr. Mamoun Awad (Mamoun.awad@uaeu.ac.ae)
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