Please use this identifier to cite or link to this item:
http://hdl.handle.net/10603/29063
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.coverage.spatial | Computer Science | en_US |
dc.date.accessioned | 2014-11-26T08:06:05Z | - |
dc.date.available | 2014-11-26T08:06:05Z | - |
dc.date.issued | 2014-11-26 | - |
dc.identifier.uri | http://hdl.handle.net/10603/29063 | - |
dc.description.abstract | None newline | en_US |
dc.format.extent | xii, 145p. | en_US |
dc.language | English | en_US |
dc.relation | no. of references 121 | en_US |
dc.rights | university | en_US |
dc.title | Efficient Arrhthmia Classification in ECG using Machine Learning Techniques | en_US |
dc.title.alternative | nil | en_US |
dc.creator.researcher | Karpagachelvi, S | en_US |
dc.subject.keyword | computer, arrthmia, ECG, machine, techniques | en_US |
dc.description.note | reference p. 133 -145 | en_US |
dc.contributor.guide | Arthanariee, A M | en_US |
dc.publisher.place | Kodaikanal | en_US |
dc.publisher.university | Mother Teresa Womens University | en_US |
dc.publisher.institution | Department of Computer Science | en_US |
dc.date.registered | 01.11.2006 | en_US |
dc.date.completed | 27.06.2013 | en_US |
dc.date.awarded | 28.01.2014 | en_US |
dc.format.dimensions | A4 | en_US |
dc.format.accompanyingmaterial | CD | en_US |
dc.source.university | University | en_US |
dc.type.degree | Ph.D. | en_US |
Appears in Departments: | Department of Computer Science |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
01_title.pdf | Attached File | 42.15 kB | Adobe PDF | View/Open |
02_certificate.pdf | 20.33 kB | Adobe PDF | View/Open | |
03_declaration.pdf | 20.64 kB | Adobe PDF | View/Open | |
04_acknowledgement.pdf | 23.68 kB | Adobe PDF | View/Open | |
05_contents.pdf | 31.56 kB | Adobe PDF | View/Open | |
06_list_of_tables.pdf | 21.72 kB | Adobe PDF | View/Open | |
07_list_of_figures.pdf | 25.65 kB | Adobe PDF | View/Open | |
08_abbreviations.pdf | 25.76 kB | Adobe PDF | View/Open | |
09_chapter1.pdf | 1.94 MB | Adobe PDF | View/Open | |
10_chapter2.pdf | 124.92 kB | Adobe PDF | View/Open | |
11_chapter3.pdf | 5.24 MB | Adobe PDF | View/Open | |
12_chapter4.pdf | 3.49 MB | Adobe PDF | View/Open | |
13_chapter5.pdf | 1.62 MB | Adobe PDF | View/Open | |
14_chapter6.pdf | 601.81 kB | Adobe PDF | View/Open | |
15_chapter7.pdf | 442.15 kB | Adobe PDF | View/Open | |
16_chapter8.pdf | 51.19 kB | Adobe PDF | View/Open | |
17_conclusion.pdf | 18.9 kB | Adobe PDF | View/Open | |
18_bibliography.pdf | 104.08 kB | Adobe PDF | View/Open |
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