Scalable Link Mining and Analysis on Information Networks

author: Philip S. Yu, Department of Computer Science, College of Engineering, University of Illinois at Chicago
published: Sept. 18, 2009,   recorded: July 2009,   views: 366
Categories

Slides

Related content

Report a problem or upload files

If you have found a problem with this lecture or would like to send us extra material, articles, exercises, etc., please use our ticket system to describe your request and upload the data.
Enter your e-mail into the 'Cc' field, and we will keep you updated with your request's status.
Lecture popularity: You need to login to cast your vote.
  Delicious Bibliography

Description

With the ubiquity of information networks and their broad applications, there have been numerous studies on the construction, online analytical processing, and mining of information networks in multiple disciplines, including social network analysis, World-Wide Web, database systems, data mining, machine learning, and networked communication and information systems. Algorithms like PageRank and HITS have been developed in late 1990s to explore links among Web pages to discover authoritative pages and hubs. Links have also been popularly used in citation analysis and social network analysis. However, there is a lack of systematic treatment on how to fully explore the power of links in scalable data analysis. In this talk, the power of links are examined in details to improve the effectiveness and efficiency of typical data analysis tasks, including information integration, on-line analytic processing, and other interesting data mining tasks, especially in the multi-relational databases and/or the World-Wid e Web environments.

See Also:

Download slides icon Download slides: ilpmlgsrl09_yu_slmain_01.pdf (682.0┬áKB)


Help icon Streaming Video Help

Link this page

Would you like to put a link to this lecture on your homepage?
Go ahead! Copy the HTML snippet !

Write your own review or comment:

make sure you have javascript enabled or clear this field: