Laboratory for Advanced Computing Welcome
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Summer 2008 Undergraduate Research Opportunity in Computer Science

Sponsored by The National Center for Data Mining at UIC & The National Science Foundation

The National Center for Data Mining at UIC is hosting a Research Experience for Undergraduates (REU). Students will work on one of the following two projects:

  1. SECTOR - High Performance Peer-to-Peer Storage System for Scientific Data.
  2. ANGLE - Distributed Data Mining System to Identify Emergent Behavior in Computer Network Data.

More information and application link.


The Laboratory of Advanced Computing (LAC) at the University of Illinois at Chicago (UIC) was established in 1998 to serve as a resource for research, standards development, and education for high performance and distributed data mining and predictive modeling.

The NCDM is supported, in part, by the National Science Foundation, the Chicago Bioinformatics Consortium, the Department of Defense, and the University of Illinois at Chicago, as well as by other funding agenices and NCDM's industrial partners.

Center's Recent projects:

  • Teraflow Testbed - distributed infrastructure designed to use new 10 GB/s network protocols and data services.
  • Sector - infrastructure software providing distributed data storage, access and analysis/processing functionality.
  • Angle - network monitoring software to detect anomalous network events across multiple monitoring sites.
  • SidGrid - social informatics data collection and collaborative analysis software utilizing web and grid services.

The Center focuses on three research areas:

  • Scaling algorithms, applications and systems to massive data sets.
  • Developing algorithms, applications, and systems for mining distributed data.
  • Establishing standard languages, protocols, and services for data mining and predictive modeling.

The LAC is a co-founding member of the Data Mining Group (DMG), which develops the Predictive Model Markup Language (PMML) and related standards.

Recent News and Awards page.

telephone (312) 996-0305
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