Intelligent Query Answering Systems
Intelligent Query Answering Systems
Prerequisites: ITCS6162, full graduate standing or content of the department.
Textbook: No textbook required.
August 25, September 8: Rough Sets (PPT format) September 15: Sample Problems (DOC format) September 15, 22: Failing Queries (PPT format) October 22: Sample Problems (DOC format) September 22, 29: Hierarchical Information Systems (PPT format) September 29: Example October 6: Sample Problems (DOC format) October 13: Midterm Break October 20: Midterm Exam October 27: Midterm Exam Review November 24: Ontology-based Information Retrieval (PPT format) November 24: Ontology-based Information Retrieval (PDF format) December 1: Intelligent Query Answering by KD Techniques (PDF format) December 8: Sample Problems (DOC format) November 3: Music Information Retrieval (Jasper Land) (HTML format) November 3: Music Information Retrieval Systems
(Amanda Cohen and
Wenxin Jiang) (HTML format) November 10: Searching Question and Answer Archives
(Charanya Venkatesh Kumar and Pravin Bhat) (PDF format) November 17: Solving Failing Queries
(Morris S. LeBlanc) (PDF format) November 17: Web Intelligence (Yang Chen) (PDF format) November 17: Cooperative XML Query Answering
(Aditya Chintaluri) (PDF format) November 24: Granular Computing for the Design of IRS (Mohamad Seif)(PDF format) November 24: Ontology-based Information Visualization
(Roman Pyzh)(PDF format) December 1: Complex Features for Information Retrieval
(Laura Vandivier)(PDF format) Ontology Based Knowledge Systems (One student) (PDF format) Latent semantic analysis (One student) (HTML format) Information retrieval including Set-theoretic, Algebraic and Probabilistic models (Two students) (HTML format) Topic Models in Information Retrieval (Two students) (PDF format)
Software for data mining
Rough Sets Exploration System