SIGKDD Annual Report
July 2002 - June 2003
Submitted by: Won Kim ,SIGKDD Chair
1. significant awards given out
In 2002, SIGKDD gave out SIGKDD Annual Services Award (Ramasamy Uthurusamy), and SIGKDD Innovations Award (Jerry Friedman).
2. significant papers on new areas that were published in the Proceedings
The KDD-2002 conference accepted 32 full papers out of 270 submissions to the Regular Track, and 12 full papers out of 37 submissions to the IT Track.
Additional 44 papers were selected for poster presentation. Accepted papers dealt with KDD algorithms, mining of the Web, and interactive knowledge exploration, as well as KDD applications such as e-commerce and telephony.
3. significant programs that provded a springboard for further technical efforts
The KDD-2002 conference included 6 tutorials and 6 workshops. The workshops were on data mining in bioinformatics, web mining, multimedia data mining, multi-relational data mining, temporal data mining, and fractals in data mining. The tutorials were on text mining for bioinformatics, querying and mining data streams, link analysis, multivariate density estimation, common reasons data mining projects fail, and visual data mining.
4. Innovative programs which provide service to some part of our technical community
The SIGKDD semi-annual newsletter Explorations have been made available online.
5. A very brief summary for the key issues that the membership of SIGKDD will have to deal with in the next 2-3 years
This year data mining has unfortunately, and wrongly, become associated with "invasion of privacy and civil liberties". This has come about because of the labeling in the news media of the DARPA Total Information Awareness Initiative as a "massive data mining project" on a huge centralized database of all things about all people in the US. The SIGKDD EC has issued a letter that refutes this misunderstanding and mislabeling. Continued efforts may be needed to ensure that data mining does not get wrongly equated with technology being used to violate civil liberties of innocent citizens. At the same time, additional research efforts may need to be focused on the newly emerging area of "privacy preserving" data mining.
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