Towards Accurate and Efficient Classification: A Discriminative and Frequent Pattern-Based Approach
Cheng, Hong
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Permalink
https://hdl.handle.net/2142/81825
Description
Title
Towards Accurate and Efficient Classification: A Discriminative and Frequent Pattern-Based Approach
Author(s)
Cheng, Hong
Issue Date
2008
Doctoral Committee Chair(s)
Han, Jiawei
Department of Study
Computer Science
Discipline
Computer Science
Degree Granting Institution
University of Illinois at Urbana-Champaign
Degree Name
Ph.D.
Degree Level
Dissertation
Keyword(s)
Computer Science
Language
eng
Abstract
In conclusion, the framework of discriminative frequent pattern-based classification could lead to a highly accurate, efficient and interpretable classifier on complex data. The pattern-based classification technique would have great impact in a wide range of applications including text categorization, chemical compound classification, software behavior analysis and so on.
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