As the Internet evolves and expands at an explosive rate, it provides
both great opportunities and grand challenges (and perhaps killer
applications) for data mining. In most major Internet application domains,
such as information presentations and exchanges, e-commerce, and search
engines, data mining has been applied and successful cases have been
reported. Various data-mining techniques have been used including
prediction (for direct marketing, webpage classification, spam filtering,
personalization, product recommendation, pre-fetching), generalization
(for knowledge extraction), clustering (web-log analysis, customer
segmentation) and association learning (for cross-sale).
However, data mining application to the web is still in the process
of "crossing the chasm". Many difficult problems need to be solved,
such as huge sizes of data with mixed and rich types, lack of standard
procedures for various business problems, integrating data mining with
existing web application systems, and the privacy issue. If Internet is
to become a killer application for data mining, those issues must be
resolved effectively so the benefits (e.g., return of investment) of
data mining becomes obvious to Internet companies.
It is, therefore, of special interest and urgency to expand our knowledge
on data mining applications to Internet, which is this special issue of
IJFCS planned for.
We urge authors to submit papers on any topics of data mining applications
to the Internet, including but not limited to:
- Data mining for e-commerce (product recommendation, direct marketing,
customer retention, etc.)
- Data mining for information presentation (webpage classification,
knowledge extraction from webpages or for search engines)
- Data mining for personalization (fre-fetching, adaptation, etc.)
- Mining web logs
Schedule for the Special Issue of IJFCS on Mining the Web:
- Submission deadline: May 1, 2001
- Decision on acceptance: Sept 1, 2001.
- Final revised manuscripts due: Nov 1, 2001
- Publication scheduled: early 2002.
Please submit electronic copy in Postscript, PDF, or MS Word (strongly
encouraged), or five copies of your manuscript, to one of the guest editors:
- Charles Ling,
Dept of Computer Science, Univ of Western Ontario,
London, Ontario N6A 5B7, Canada. ling@csd.uwo.ca
- Nick Cercone,
Dept of Computer Science, University of Waterloo,
Waterloo, Ontario N2L 3G1, Canada. ncercone@uwaterloo.ca
Instructions for submitting papers:
Papers should not exceed 30 double-spaced pages (12 pt fonts) including
the title page, figures, tables, references, appendix, etc. and should
not have been previously published, nor currently submitted elsewhere
for publication. All submitted papers will be refereed in accordance with
the usual criteria of
IJFCS.
Updates of the Special Issue of IJFCS on Mining the Web can be found at
here