Exploring Canonical Data Model for Text Clustering (S/O 12828)
The abundance of text data have been witnessed with the growth of web and other text repositories. There is an important need to provide improved mechanism to effectively represent and retrieve text data. This paper advocates the construction of canonical data models for mapping contents of multi do...
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Main Authors: | , |
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Format: | Monograph |
Language: | English |
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UUM
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Online Access: | https://repo.uum.edu.my/id/eprint/31505/1/12828.pdf https://repo.uum.edu.my/id/eprint/31505/ |
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