Text mining with minimum human supervision
This project mainly involves data mining, the process of discovering new patterns from existing data, where the data are pre-processed by humans as little as possible. In this project, for instance, features are extracted from an image file data for data mining instead of using the labels tagged by...
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2012
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sg-ntu-dr.10356-487092023-03-03T20:34:29Z Text mining with minimum human supervision Lim, Kewin Hong Kwan. School of Computer Engineering Tsang Wai Hung, Ivor DRNTU::Engineering::Computer science and engineering::Computing methodologies::Document and text processing This project mainly involves data mining, the process of discovering new patterns from existing data, where the data are pre-processed by humans as little as possible. In this project, for instance, features are extracted from an image file data for data mining instead of using the labels tagged by humans. Bachelor of Engineering (Computer Engineering) 2012-05-08T08:42:47Z 2012-05-08T08:42:47Z 2012 2012 Final Year Project (FYP) http://hdl.handle.net/10356/48709 en Nanyang Technological University 52 p. application/pdf |
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DRNTU::Engineering::Computer science and engineering::Computing methodologies::Document and text processing Lim, Kewin Hong Kwan. Text mining with minimum human supervision |
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This project mainly involves data mining, the process of discovering new patterns from existing data, where the data are pre-processed by humans as little as possible. In this project, for instance, features are extracted from an image file data for data mining instead of using the labels tagged by humans. |
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School of Computer Engineering |
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School of Computer Engineering Lim, Kewin Hong Kwan. |
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Final Year Project |
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Lim, Kewin Hong Kwan. |
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Lim, Kewin Hong Kwan. |
title |
Text mining with minimum human supervision |
title_short |
Text mining with minimum human supervision |
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Text mining with minimum human supervision |
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Text mining with minimum human supervision |
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Text mining with minimum human supervision |
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text mining with minimum human supervision |
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2012 |
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http://hdl.handle.net/10356/48709 |
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1759854873576210432 |