Data mining – project II
The purpose of this report is to document what the author had done in the project to investigate problems in data mining and designing novel algorithms to solve it and compare against existing approaches. The objective of the project is to determine whether the current approaches to datamining ar...
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| Format: | Final Year Project |
| Language: | English |
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2017
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| Online Access: | http://hdl.handle.net/10356/70514 |
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| Institution: | Nanyang Technological University |
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sg-ntu-dr.10356-705142023-03-03T20:23:19Z Data mining – project II The Naing@The Maung Arijit Khan School of Computer Science and Engineering DRNTU::Engineering::Computer science and engineering The purpose of this report is to document what the author had done in the project to investigate problems in data mining and designing novel algorithms to solve it and compare against existing approaches. The objective of the project is to determine whether the current approaches to datamining are optimal and come up with possibly better methods to go about it. The project requires the author to data mine from a given set of data, analyze the results and attempt to improve upon existing methodologies. Bachelor of Engineering (Computer Engineering) 2017-04-26T05:50:16Z 2017-04-26T05:50:16Z 2017 Final Year Project (FYP) http://hdl.handle.net/10356/70514 en Nanyang Technological University 47 p. application/pdf |
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Nanyang Technological University |
| building |
NTU Library |
| continent |
Asia |
| country |
Singapore Singapore |
| content_provider |
NTU Library |
| collection |
DR-NTU |
| language |
English |
| topic |
DRNTU::Engineering::Computer science and engineering |
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DRNTU::Engineering::Computer science and engineering The Naing@The Maung Data mining – project II |
| description |
The purpose of this report is to document what the author had done in the project to investigate
problems in data mining and designing novel algorithms to solve it and compare against existing
approaches. The objective of the project is to determine whether the current approaches to
datamining are optimal and come up with possibly better methods to go about it. The project
requires the author to data mine from a given set of data, analyze the results and attempt to
improve upon existing methodologies. |
| author2 |
Arijit Khan |
| author_facet |
Arijit Khan The Naing@The Maung |
| format |
Final Year Project |
| author |
The Naing@The Maung |
| author_sort |
The Naing@The Maung |
| title |
Data mining – project II |
| title_short |
Data mining – project II |
| title_full |
Data mining – project II |
| title_fullStr |
Data mining – project II |
| title_full_unstemmed |
Data mining – project II |
| title_sort |
data mining – project ii |
| publishDate |
2017 |
| url |
http://hdl.handle.net/10356/70514 |
| _version_ |
1759857919162056704 |