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| Review on Mining Methods of Correlated Bursty Topic Patterns |
| Huang Yongwen |
| National Science Library, Chinese Academy of Sciences, Beijing 100190, China |
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Abstract This paper introduces the definition of correlated bursty topic patterns and studies the key issues of mining correlated bursty topic patterns such as detect bursty topics, locate bursty period of a bursty topic and discover correlated bursty topics.Finally, it analyzes the methods of mining correlated bursty topics from text collections, synchronous text streams and asynchronous text streams.
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Received: 25 September 2012
Published: 24 January 2013
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