Files in this item
| Files | Description | Format |
|---|---|---|
|
application/pdf  3337732.pdf (2MB) | (no description provided) |
Description
| Title: | Towards Accurate and Efficient Classification: A Discriminative and Frequent Pattern-Based Approach |
| Author(s): | Cheng, Hong |
| Doctoral Committee Chair(s): | Han, Jiawei |
| Department / Program: | Computer Science |
| Discipline: | Computer Science |
| Degree Granting Institution: | University of Illinois at Urbana-Champaign |
| Degree: | Ph.D. |
| Genre: | Dissertation |
| Subject(s): | Computer Science |
| 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. |
| Issue Date: | 2008 |
| Type: | Text |
| Language: | English |
| Description: | 101 p. Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2008. |
| URI: | http://hdl.handle.net/2142/81825 |
| Other Identifier(s): | (MiAaPQ)AAI3337732 |
| Date Available in IDEALS: | 2015-09-25 |
| Date Deposited: | 2008 |
This item appears in the following Collection(s)
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Dissertations and Theses - Computer Science
Dissertations and Theses from the Dept. of Computer Science -
Graduate Dissertations and Theses at Illinois
Graduate Theses and Dissertations at Illinois