Please use this identifier to cite or link to this item:
http://hdl.handle.net/10603/276591
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.coverage.spatial | ||
dc.date.accessioned | 2020-02-12T07:22:21Z | - |
dc.date.available | 2020-02-12T07:22:21Z | - |
dc.identifier.uri | http://hdl.handle.net/10603/276591 | - |
dc.description.abstract | included newline | |
dc.format.extent | ||
dc.language | English | |
dc.relation | ||
dc.rights | university | |
dc.title | Efficient Methods for Clustering of Sentimental Data Using Nature Inspired Algorithms | |
dc.title.alternative | ||
dc.creator.researcher | Pandey, Avinash Chandra | |
dc.subject.keyword | binomial cuckoo | |
dc.subject.keyword | Clustering | |
dc.subject.keyword | Cuckoo search method | |
dc.subject.keyword | Engineering and Technology,Computer Science,Computer Science Software Engineering | |
dc.subject.keyword | Feature representation | |
dc.subject.keyword | Feature selection | |
dc.subject.keyword | redundant features | |
dc.subject.keyword | Sentiment analysis | |
dc.subject.keyword | wolf optimization | |
dc.description.note | ||
dc.contributor.guide | Rajpoot, Dharmveer Singh | |
dc.publisher.place | Noida | |
dc.publisher.university | Jaypee Institute of Information Technology | |
dc.publisher.institution | Department of Computer Science Engineering and Information Technology | |
dc.date.registered | 11/08/2014 | |
dc.date.completed | 03/01/2020 | |
dc.date.awarded | 03/01/2020 | |
dc.format.dimensions | ||
dc.format.accompanyingmaterial | None | |
dc.source.university | University | |
dc.type.degree | Ph.D. | |
Appears in Departments: | Department of Computer Science Engineering and Information Technology |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
01_title.pdf | Attached File | 1.53 MB | Adobe PDF | View/Open |
02_table of contents.pdf | 64.6 kB | Adobe PDF | View/Open | |
03_declaration.pdf | 48.41 kB | Adobe PDF | View/Open | |
04_certificate.pdf | 48.38 kB | Adobe PDF | View/Open | |
05_acknowledgements.pdf | 51.25 kB | Adobe PDF | View/Open | |
06_abstract.pdf | 58.89 kB | Adobe PDF | View/Open | |
07_list of acronyms & abbreviations.pdf | 50.8 kB | Adobe PDF | View/Open | |
08_list of figures and tables.pdf | 163.08 kB | Adobe PDF | View/Open | |
09_chapter1.pdf | 437.59 kB | Adobe PDF | View/Open | |
10_chapter2.pdf | 615.47 kB | Adobe PDF | View/Open | |
11_chapter3.pdf | 317.12 kB | Adobe PDF | View/Open | |
12_chapter4.pdf | 179.83 kB | Adobe PDF | View/Open | |
13_chapter5.pdf | 179.43 kB | Adobe PDF | View/Open | |
14_chapter6.pdf | 164.81 kB | Adobe PDF | View/Open | |
15_chapter7.pdf | 139.21 kB | Adobe PDF | View/Open | |
16_chapter8.pdf | 82.29 kB | Adobe PDF | View/Open | |
17_references.pdf | 140.59 kB | Adobe PDF | View/Open | |
18_list of publications.pdf | 79.79 kB | Adobe PDF | View/Open | |
19_synopsis.pdf | 186.67 kB | Adobe PDF | View/Open |
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