ACM SIGKDD Inaugural Webinar: Web Content Mining

**** I am sending this on behalf of Greg James, SIGKDD Webcast director *****

The Association of Computing Machinery SIGKDD is pleased to announce The
First SIGKDD Webcast:

Web Content Mining
Wed, Nov 29, 2006
9 am PT / 12:00 pm ET / 17:00 GMT (45 minutes long)
(http://kdd.webex.com)

Presented by Bing Liu, Associate Professor, University of Illinois at
Chicago (UIC)

Abstract

Web content mining aims to extract/mine useful information or knowledge from
Web page contents. Apart from traditional tasks of Web page clustering and
classification, there are many other Web content mining tasks, e.g.,
data/information extraction, information integration, mining opinions from
the user-generated content, mining the Web to build concept hierarchies, Web
page pre-processing and cleaning, etc.

In this talk, I will introduce these tasks and some of their basic algorithms. I
will also try to put these tasks into a unified framework and present some
fundamental challenges. The webcast will be useful to not only to students
and researchers, but also to practitioners as many of these tasks and
techniques have immediate real-life applications.


ACM SIGKDD (www.kdd.org) is pleased to sponsor this webcast as part of its
efforts to improve data mining education and share the outstanding expertise
of many data mining researchers with the broader audience. This first
webcast is open to all, but the number of seats is limited!

Register now at (http://kdd.webex.com)