Features

As Chair of ACM SIGKDD, the premiere data mining association, I am 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)

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

The first webcast is open to all, but the number of seats is limited, so if you want to attend, register now at kdd.webex.com

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.

Many thanks to Greg James, SIGKDD Webcast director, for making this possible.

If you are interested in presenting a webcast,
please contact Greg James, gjames at kddlab.com.

Web Content Mining Webcast: 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.

Here, 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.

Seats are limited! Register now at kdd.webex.com.

Gregory Piatetsky-Shapiro
Chair, ACM SIGKDD