Shodhganga : a reservoir of Indian theses @ INFLIBNET
The Shodhganga@INFLIBNET Centre provides a platform for research students to deposit their Ph.D. theses and make it available to the entire scholarly community in open access.
Please use this identifier to cite or link to this item:
http://hdl.handle.net/10603/249711
| Title: | Usage of Hybrid Extensive Machine Learning Algorithm HEMLA for Domain Specific features to Detect and Classify Web Spam |
| Researcher: | Muralidharan T |
| Guide(s): | S. P. Rajagopalan |
| Keywords: | Engineering and Technology,Computer Science,Computer Science Software Engineering, HEMLA, Machine Learning, Web spam, supervised learning, classification, clustering, spam filtering |
| University: | Dr. M.G.R. Educational and Research Institute |
| Completed Date: | 01/02/2019 |
| Abstract: | newline |
| Pagination: | |
| URI: | http://hdl.handle.net/10603/249711 |
| Appears in Departments: | Department of Computer Science and Engineering |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| abstract.pdf | Attached File | 90.56 kB | Adobe PDF | View/Open |
| part 1 front pages - edited 23.04.2019-converted (1).pdf | 267.12 kB | Adobe PDF | View/Open | |
| part 2 - list of correction-converted.pdf | 30.95 kB | Adobe PDF | View/Open | |
| part 3 full thesis - edited 23.04.2019-converted.pdf | 953.46 kB | Adobe PDF | View/Open |
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