Workshop on Statistical Techniques in Data Mining with Applications (StatDM2001) (http://web.hku.hk/~plhyu/statdm2001/index.htm ) Monday, April 16, 2001, Kowloon, Hong Kong. in conjunction with: The Fifth Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD2001) (http://www.csis.hku.hk/pakdd01/) (April 16-19, 2001) Workshop inquiries and submissions: statdm@hku.hk
Data mining utilizes advances in both Computer Science and Statistics to extract interesting, unexpected, or valuable structures from huge data. Statistical methods are thus used in many data mining problems, particularly in the areas of model building and pattern detection that capture key relationships between variables in the data. Other statistical methods often used in data mining include data cleaning, sample selection, model selection and time series models. Recently, many popular statistical packages developed data mining tools that facilitate the use of statistical methods in data mining. This workshop aims to bring together statisticians and practitioners in data mining to promote a more active interaction among disciplines. It allows for a comprehensive presentation of various relevant topics, and introduces recent statistical applications in data mining. Bring different research communities together and providing a better understanding of the statistical underpinnings for other disciplines are two key ingredients to the quest for better ways of solving various data mining problems. The workshop will serve as a forum where the statistical methods used in data mining are investigated. We believe more research and application activities could then be stimulated. The workshop will address topics such as:  Data Visualization Regression and Classification Techniques Estimation and Prediction Techniques Mining Time Series Data Mining Spatial Data Application domains: e.g. banking, marketing, telecommunicationSubmissions on the above and related topics of statistical data mining are invited. Case studies and industrial experience from the development and deployment of statistical data mining techniques/products are particularly welcome.
Submission is by extended abstract (up to 2 pages including tables and figures) in Postscript, PDF or Microsoft Word format. Please include a cover page containing the title, authors’ names and email addresses and up to 5 relevant keywords. Authors are invited to send their submissions electronically to statdm@hku.hk Or send four copies to: Dr. Philip Yu (StatDM2001)
All registrants to the PAKDD conference are eligible to participate in the workshop. There is no registration fee for the workshop if you are workshop speaker or you register the PAKDD conference. Otherwise, a registration fee of HK$600 will be charged. A workshop proceeding will be published and distributed to the workshop participants during the workshop. It is free of charge for a workshop speaker and a workshop participant who registers the PAKDD conference. Otherwise, HK$50 will be charged. To register for the workshop, please send an email to statdm@hku.hk, expressing your interest in the workshop. Please specify your name, your affiliation, and your email address. For conference registration, please see the PAKDD2001 page. (http://www.csis.hku.hk/pakdd01/)
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