Please use this identifier to cite or link to this item:
http://hdl.handle.net/10603/180802
Title: | An efficient approach for frequent itemset mining in big data |
Researcher: | P, Subhashini |
Guide(s): | G, Gunasekaran |
Keywords: | An efficient big data frequent |
University: | St. Peters University |
Completed Date: | 2017 |
Abstract: | Available Abstract |
Pagination: | n.d. |
URI: | http://hdl.handle.net/10603/180802 |
Appears in Departments: | Department of Information Technology |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
01_title.pdf | Attached File | 98.31 kB | Adobe PDF | View/Open |
02_certificate.pdf | 242.75 kB | Adobe PDF | View/Open | |
03_declaration.pdf | 161.2 kB | Adobe PDF | View/Open | |
04_acknowledgement.pdf | 168.65 kB | Adobe PDF | View/Open | |
05_abstract.pdf | 90.84 kB | Adobe PDF | View/Open | |
06_contents.pdf | 103.61 kB | Adobe PDF | View/Open | |
07_chapter 1.pdf | 669 kB | Adobe PDF | View/Open | |
08_chapter 2.pdf | 113.45 kB | Adobe PDF | View/Open | |
09_chapter 3.pdf | 858.47 kB | Adobe PDF | View/Open | |
10_chapter 4.pdf | 702.21 kB | Adobe PDF | View/Open | |
11_chapter 5.pdf | 582.3 kB | Adobe PDF | View/Open | |
12_references.pdf | 291.1 kB | Adobe PDF | View/Open |
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