Bursty feature representation for clustering text streams
Text representation plays a crucial role in classical text mining, where the primary focus was on static text. Nevertheless, well-studied static text representations including TFIDF are not optimized for non-stationary streams of information such as news, discussion board messages, and blogs. We the...
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Main Authors: | HE, Qi, CHANG, Kuiyu, LIM, Ee Peng, ZHANG, Jun |
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Format: | text |
Language: | English |
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Institutional Knowledge at Singapore Management University
2007
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Online Access: | https://ink.library.smu.edu.sg/sis_research/1273 http://doi.org/10.1137/1.9781611972771.50 |
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Institution: | Singapore Management University |
Language: | English |
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