Data Mining: A Dynamic Group at UIUC

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Data Mining A Dynamic Group at UIUC

• Jiawei Han (www.cs.uiuc.edu/hanj), Professor,
  CS, UIUC
• Internationally recognized research team on data
  mining (11 Ph.D. students, publishing over 15
  papers in major confs and jns/year)
• Over 250 research papers published in conferences
  and journals
• 2004 Awards SIGKDD Innovation Award, ACM Fellow,
  IBM Faculty Award.
• Research collaborations with industry and/or
  research labs
• Boeing, HP Labs, IBM Research, Intel, Microsoft
  Research
• Textbook has been used world-wide
• J. Han and M. Kamber, Data Mining Concepts and
  Techniques (Morgan Kaufmann, 2001)

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Current Funded Research Projects

• Mining Sequential and Structured Patterns
  Scalability, Flexibility, Extensibility and
  Applicability (NSF/IDM 2002-2006)
• Mining Dynamics of Data Streams in
  Multi-Dimensional Space (NSF/IDM 2003-2006)
• Automatic On-the-fly Detection, Characterization,
  Recovery, and Correction of Software Bugs in
  Production Runs (with Josep Torrellas, Sam
  Midkiff, YuanyuanZhou) (NSF/ITR, 2003-2008)
• MAIDS Mining Alarming Incidents in Data Streams
  (with NCSA) (Office of Naval Research, 2003-2004)
• Structure Discovery and Database Integration by
  Data Mining (IBM Faculty Award, 2003-2004)
• Mining Sequential Patterns and Social Networks in
  Data Streams (NCASSR/NCSA, 2004-2005)

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Other Interesting Research Projects

• CrossMine Scalable mining across multiple
  database relations (ICDE2004 keynote speech at
  Multi-Relational Data Mining Workshop04)
• Fast high-dimensional OLAP in large databases
  (VLDB2004)
• Spatiotemporal data mining mining trajectory
  databases and clustering moving objects
  (KDD2004)
• Incremental mining of sequential patterns in
  databases (KDD2004)
• Profit mining Mining databases for profit
  prediction (EDBT2002)
• Efficient mining and aggregation of social
  networks (KDD2004)
• Indexing complex objects (e.g., graphs and
  networks) in large databases (SIGMOD2004)