Tao Li

Research Interests:

Data Mining, Machine Learning, Information Retrieval, Bioinformatics

Short Research Description:

My research explores two related topics on learning from data---how to efficiently discover useful patterns and how to effectively retrieve information. The interests lie broadly in data mining/machine learning and information retrieval studying both the algorithmic and application issues. The algorithmic aspects involve developing new scalable, efficient and interactive algorithms that can handle very large databases. The underlying techniques studied include clustering, classification, semi-supervised learning, similarity and temporal pattern discovery. The application issues focus on actual implementation and usage of the algorithms on a variety of real applications with different characteristics including bioinformatics, text mining, music information retrieval and event mining for computer system management.

Selected Research Projects:

1. Project Title: CAREER: Mining Log Data for Computing System Management
• Website: http://www.cs.fiu.edu/~taoli/nsf-iis-0546280.htm
2. Project Title: Social Network Analysis on Xerox Docshare Data
3. Project Title: Intelligent Help Desk: Semantic Information Retrieval and Active Problem Probing
4. Project Title: Music Recommendation by Learning from Content and User Access Patterns
5. Project Title: Addressing Diverse User Preference in SQL-Query Result Navigation
6. Project Title: An Integrated Suite for Document Mining and Link Analysis
7. Project Title: Meta-analysis of Heterogeneous Gene Expression Datasets for Cancer Diagnosis
   • Marker Gene Identification
   • Mining Literature Data for Providing Biological Explanations
   • Computational Approaches for Cancer Diagnosis

My publications can be found at: http://www.cs.fiu.edu/~taoli/pub/home-new.html