Natural language research announcements

["Horn, Eric Bailey" <erichorn AT illinois.edu>]

The 2011 Data Sciences Summer Institute is proud to announce, as part of our Expert Speaker series:

 

Challenges and Experiences on How to Map Applications into Information Networks

 

Philip S. Yu, University of Illinois – Chicago

 

Friday, June 3, 1:00pm

 

2405 Siebel Center

 

Abstract:

In this talk, we look at the challenges on how to map applications into information networks and related issues. In an interconnected world, the evolution of one entity may cause a series of significant value changes of some others. For example, the currency inflation of Thailand caused the slumping currencies of other Asian countries, which finally lead to the financial crisis in 1997. We will call these entities with high impacts shakers. We’ll discuss the problem of how to discover shakers through a novel concept of construction of a cascading graph to capture the causality relationships among the evolving entities over some period of time, and then infer shakers through the graph. Next we consider the problem of using the network approach to provide a more efficient approach to solve the top-k maximal frequent pattern mining problem. This is achieved through building a pattern graph from the transaction database after some initial fast processing. Different from traditional bottom up strategies such as level-wise or tree-growth mining approaches, the graph based method works in a top-down manner. It can pull large maximal cliques from the pattern graph and directly use such large-sized maximal cliques as promising candidates for long frequent patterns. This greatly reduces the execution time compared to the traditional bottom up approaches.

If you are interested in an individual meeting with this speaker, please contact Eric Horn (erichorn AT illinois.edu, 333-0871)

 

Upcoming talks in this series (for abstracts, go to http://mias.illinois.edu/index.php?q=page/DSSI_2011_Expert_Speakers):

“Words & Pictures,” Tamara Berg (SUNY-Stony Brook); June 7, 1:00pm, 2405 Siebel Center

“Opinion Mining: Abstraction and Techniques,” Bing Liu (UIC); June 17, 1:00pm, 2405 Siebel Center

 

Data Sciences Summer Institute (DSSI):

The Data Sciences Summer Institute is a 6-week long program in Data Science areas for graduate and undergraduate students from around the country.  This summer program (May 22 - July 2, 2011) consists of an intensive class in the mathematical foundations of Data Sciences, tutorials on advanced Data Science topics and collaborative research projects.  The DSSI weaves together mathematical foundations, applications, and research.

 

The mission of the Data Sciences Summer Institute is to develop diverse human resources to enhance the scientific research, education, and government workforce in Data Science disciplines.  This program is funded by the Department of Homeland Security’s Center of Excellence – Command, Control, and Interoperability Center for Advanced Data Analysis (CCICADA) at the UIUC’s Multimodal Information Access & Synthesis (MIAS) Center.

 

For more information about the Data Sciences Summer Institute, please see our website at: http://mias.illinois.edu/DSSI2011 or contact Nancy Komlanc at DSSI-cs AT illinois.edu, 217-244-4675.