Please use this identifier to cite or link to this item:
http://hdl.handle.net/10603/456895
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.coverage.spatial | ||
dc.date.accessioned | 2023-02-07T09:20:16Z | - |
dc.date.available | 2023-02-07T09:20:16Z | - |
dc.identifier.uri | http://hdl.handle.net/10603/456895 | - |
dc.description.abstract | newline | |
dc.format.extent | ||
dc.language | English | |
dc.relation | ||
dc.rights | university | |
dc.title | Mining scalable multidimensional sequential Patterns from web server logs for the efficient Prediction of users request | |
dc.title.alternative | ||
dc.creator.researcher | Thavamani C | |
dc.subject.keyword | Engineering and Technology | |
dc.subject.keyword | Computer Science | |
dc.subject.keyword | Computer Science Information Systems | |
dc.description.note | ||
dc.contributor.guide | Rengarajan A | |
dc.publisher.place | Coimbatore | |
dc.publisher.university | Bharathiar University | |
dc.publisher.institution | Department of Computer Science | |
dc.date.registered | 2014 | |
dc.date.completed | 2021 | |
dc.date.awarded | 2021 | |
dc.format.dimensions | ||
dc.format.accompanyingmaterial | DVD | |
dc.source.university | University | |
dc.type.degree | Ph.D. | |
Appears in Departments: | Department of Computer Science |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
01_title.pdf | Attached File | 75.1 kB | Adobe PDF | View/Open |
02_prelim pages.pdf | 2.01 MB | Adobe PDF | View/Open | |
03_content.pdf | 37.32 kB | Adobe PDF | View/Open | |
04_abstract.pdf | 39.84 kB | Adobe PDF | View/Open | |
05_chapter 1.pdf | 434.22 kB | Adobe PDF | View/Open | |
06_chapter 2.pdf | 147.52 kB | Adobe PDF | View/Open | |
07_chapter 3.pdf | 552.54 kB | Adobe PDF | View/Open | |
08_chapter 4.pdf | 354.82 kB | Adobe PDF | View/Open | |
09_chapter 5.pdf | 330.43 kB | Adobe PDF | View/Open | |
10_chapter 6.pdf | 754.59 kB | Adobe PDF | View/Open | |
11_chapter 7.pdf | 63.18 kB | Adobe PDF | View/Open | |
12_annexures.pdf | 2.19 MB | Adobe PDF | View/Open | |
80_recommendation.pdf | 138.12 kB | Adobe PDF | View/Open |
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