Top of Menu Home CFP Program Committees Key Dates Location Hotel Registration Students Sponsors Media Submission Tutorials Workshops Travel Info Proceedings

Data Mining

Here is a one-page printable PDF version of the CFP for this track.

The phenomenal growth of the web has led to an ever-increasing volume of data and information being published in web-accessible formats. Research in web data mining aims to develop new techniques to derive actionable knowledge and information from these sources. Due to heterogeneity and lack of structure in web data, automated discovery of targeted or unexpected knowledge is a challenging task. It calls for novel methods that draw from a wide range of fields such as data mining, machine learning, natural language processing, statistics, databases, and information retrieval.

For the data mining track, we invite original and high quality submissions addressing all aspects of web data mining. The relevant topics include, but are not restricted to, the following:

Paper formatting requirements are provided on the submissions page.

Track Chair: Roberto Bayardo (Google, USA)

Deputy Chair: Kyuseok Shim (Seoul National University, Korea)

Program Committee