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/10603/517409
| Title: | Development of efficient algorithms for discovering strong association rules for rare and frequent itemsets based on abstractions |
| Researcher: | Rai, Shwetha |
| Guide(s): | Geetha, M and Preetham Kumar |
| Keywords: | Computer Science Computer Science Software Engineering Engineering and Technology |
| University: | Manipal Academy of Higher Education |
| Completed Date: | 2023 |
| Abstract: | Available newline |
| Pagination: | 127p. |
| URI: | http://hdl.handle.net/10603/517409 |
| Appears in Departments: | Manipal Institute of Technology |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 01_title.pdf | Attached File | 320.2 kB | Adobe PDF | View/Open |
| 02_prelim pages.pdf | 1.78 MB | Adobe PDF | View/Open | |
| 03_contents.pdf | 49.33 kB | Adobe PDF | View/Open | |
| 04_abstract.pdf | 49.18 kB | Adobe PDF | View/Open | |
| 05_chapter 1.pdf | 98.58 kB | Adobe PDF | View/Open | |
| 06_chapter 2.pdf | 535.6 kB | Adobe PDF | View/Open | |
| 07_chapter 3.pdf | 2.62 MB | Adobe PDF | View/Open | |
| 08_chapter 4.pdf | 588.87 kB | Adobe PDF | View/Open | |
| 09_chapter 5.pdf | 609.09 kB | Adobe PDF | View/Open | |
| 10_annexures.pdf | 118.11 kB | Adobe PDF | View/Open | |
| 80_recommendation.pdf | 368.07 kB | Adobe PDF | View/Open |
Items in Shodhganga are licensed under Creative Commons Licence Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0).
Altmetric Badge: