Bing Liu (Liu, Bing)'s Home Page

Bing Liu

Professor
Department of Computer Science
University of Illinois at Chicago (UIC)
851 S. Morgan Street (M/C 152)
Chicago, IL 60607-7053

Tel: 1 (312) 355 1318
Fax: 1 (312) 413 0024

Research Interests Data mining, Web mining, and text mining Machine learning (Before 1996-97) Constraint satisfaction, AI scheduling		Publications By topics Chronological listing DBLP: many are not mine Google Scholar	Professional Activities KDD-2008 KDD Cup and Workshop 2007 More ...
Recent Talks		Research Projects	Teaching

Web Data Mining: Exploring Hyperlinks, Contents and Usage Data, 532 pages
Order the book: Amazon.com, Springer, or Barnes&Noble.

Opinion Mining and Summarization (including review spam detection), tutorial given at WWW-2008, April 21, 2008 in Beijing, China.
Web Data Extraction and Opinion Mining, invited talk at the Research and Development Dept. of Thomson, Minneapolis, Minnesota, July 26, 2007
From Web Content Mining to Natural Language Processing, tutorial given at ACL-2007, Prague, Czech Republic, June 23-30 2007.
- There is also a video made by Reinhard Rapp. It will be posted soon.
From Topic Search to Opinion Search. Invited talk at IBM T. J. Watson Research Center, New York, June 4, 2007.
(1) Web Data Extraction and Template Detection, and (2) Sentiment Analysis. Invited talks at Yandex (the most popular search engine in Russia), Moscow, Russia, May 15, 2007.
Mining Opinions in the User Generated Content on the Web, Invited talk at Motorola Labs, Mar 5 2007. (Similar to the talk given at Google).
ACM SIGKDD Inaugural Webcast: Web Content Mining, Nov 29, 2006. See live recording, references and other information.
Mining and Summarizing Opinions on the Web. Invited talk at ACL-06 Workshop on Sentiment and Subjectivity in Text. July 22, 2006, Sydney, Australia.
Searching Opinions in User-Generated Contents. Invited talk at the Sixth Annual Emerging Information Technology Conference (EITC-06), Aug 10-12, 2006, Dallas, Texas.
Opinion Mining and Search, Invited talk at Google, Pittsburgh, Sept 29, 2006.
Web Content Mining: tutorial given at WWW-2005 and WISE-2005.

Web Content Mining, Text Mining, and Search
- Opinion Extraction, Opinion Mining, Comparison Extraction, and Sentiment Analysis
- Web Data Extraction from Flat and Nested Data Records - automatic wrapper generation
  - Download MDR; Two new systems, DEPTA and NET; Drop me an email if you want DEPTA (NET is not ready).
- Information Synthesis (or Knowledge Synthesis): Mining/compiling a "book" on the Web.
- Web page template detection and noise removal - page segmentation and cleaning
Learning from Positive and Unlabeled Examples (no labeled negative examples)

Building, Analyzing and Managing a Huge Number of Data Mining Models: To appear in Communications of ACM, 2007.
Diagnostic Data Mining: Finding interesting and actionable knowledge - a patent has been filed by Motorola
- This work is based on two key ideas, rule cubes and general impressions. It is in the area of interestingness in data mining, i.e., finding interesting and actionable knowledge. We have built a system, called Opportunity Map (also known as OM in Motorola), which has been deployed and in daily use in both the Motorola Global Headquarter (near Chicago) and Motorola China. The system is also commercially available. Motorola has sold copies to Telcommunications companies.
Data Mining and Knowledge Discovery
- Classification Based on Associations - Integrating Classification and Association Rule Mining
  - Download our system (CBA - Asociation rules based classification)
  - KDD-98 paper and others (KDD-99, PKDD-00, etc)
- Association rule mining with multiple minimum supports
  - Important for skewed data. Most real life data are skewed or highly imbalanced.
- Interestingness: subjective interestingness, rule summary, rule query language, change mining

First Draft: by Bing Liu on April 10, 2002.