Please use this identifier to cite or link to this item:
http://hdl.handle.net/10603/481805
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.coverage.spatial | Computer Science and Engineering | |
dc.date.accessioned | 2023-05-09T06:17:10Z | - |
dc.date.available | 2023-05-09T06:17:10Z | - |
dc.identifier.uri | http://hdl.handle.net/10603/481805 | - |
dc.description.abstract | Due to the advancement of the data storage and processing capabilities of computers most of the real life applications are shifted to digital domains and many of them are data intensive In general most of the applications deal with similar type of data items but due to variety of reasons some data points are present in the data set which are deviating from the normal behaviors of common data points Such type of data points are referred as outliers and in general the number of outliers in a | |
dc.format.extent | Not Available | |
dc.language | English | |
dc.relation | Not Available | |
dc.rights | self | |
dc.title | Data pruning based outlier detection | |
dc.title.alternative | Not available | |
dc.creator.researcher | Pamula, Rajendra | |
dc.subject.keyword | Computer Science | |
dc.subject.keyword | Computer Science Artificial Intelligence | |
dc.subject.keyword | Engineering and Technology | |
dc.description.note | Not Available | |
dc.contributor.guide | Nandi, Sukumar and Deka, Jatindra Kr | |
dc.publisher.place | Guwahati | |
dc.publisher.university | Indian Institute of Technology Guwahati | |
dc.publisher.institution | Department of Computer Science and Engineering | |
dc.date.registered | 2005 | |
dc.date.completed | 2015 | |
dc.date.awarded | 2015 | |
dc.format.dimensions | Not Available | |
dc.format.accompanyingmaterial | None | |
dc.source.university | University | |
dc.type.degree | Ph.D. | |
Appears in Departments: | Department of Computer Science and Engineering |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
01_fulltext.pdf | Attached File | 5.61 MB | Adobe PDF | View/Open |
04_abstract.pdf | 69.28 kB | Adobe PDF | View/Open | |
80_recommendation.pdf | 259.12 kB | Adobe PDF | View/Open |
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