Please use this identifier to cite or link to this item:
http://hdl.handle.net/10603/175541
Title: | An Integrated Method for Feature Selection Using Fuzzy Information Measure |
Researcher: | Azhagusundari B. |
Guide(s): | Antony Selvadoss Thanamani |
Keywords: | Fuzzy Information |
University: | Mother Teresa Womens University |
Completed Date: | 25.11.2016 |
Abstract: | Information overload has been experienced due to advancements in data collection and storage capabilities during the past years. A challenge in highdimensional datasets has bound to give rise to new theoretical developments. One of the issues with high-dimensional datasets is that, not all the measured variables are important for understanding the underlying phenomena of interest. newline |
Pagination: | viii, 214p. |
URI: | http://hdl.handle.net/10603/175541 |
Appears in Departments: | Department of Computer Science |
Files in This Item:
File | Description | Size | Format | |
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01_title page.pdf | Attached File | 54.16 kB | Adobe PDF | View/Open |
02_certificate.pdf | 725.28 kB | Adobe PDF | View/Open | |
03_abstract.pdf | 65.68 kB | Adobe PDF | View/Open | |
04_declaration.pdf | 695.73 kB | Adobe PDF | View/Open | |
05_acknowledgement.pdf | 56.48 kB | Adobe PDF | View/Open | |
06_contents.pdf | 35.37 kB | Adobe PDF | View/Open | |
07_list of tables.pdf | 33.49 kB | Adobe PDF | View/Open | |
08_list of figures.pdf | 32.88 kB | Adobe PDF | View/Open | |
09_list of abbreviations.pdf | 31.97 kB | Adobe PDF | View/Open | |
10_chapter1.pdf | 565.67 kB | Adobe PDF | View/Open | |
11_chapter2.pdf | 491.85 kB | Adobe PDF | View/Open | |
12_chapter3.pdf | 251.69 kB | Adobe PDF | View/Open | |
13_chapter4.pdf | 398.56 kB | Adobe PDF | View/Open | |
14_chapter5.pdf | 238.58 kB | Adobe PDF | View/Open | |
15_chapter6.pdf | 64.31 kB | Adobe PDF | View/Open | |
16_bibliography.pdf | 123.89 kB | Adobe PDF | View/Open |
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