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Online hot event discovery has become a flourishing frontier where online document streams are monitored to discover newly occurring events or assigned to previously detected events. However, hot events have the nature to evolve, and their inherent topically related words are also likely to evolve. It makes event discovery a challenging task for traditional‐mining approaches. Combining word association...
As documents are explosively increasing in the era of big data, document clustering has been proven to be useful for organizing online document streams into events. However, extant studies on document clustering still suffer from the problems of high dimensionality, scalability and accuracy. In this paper, we will present a novel association link network (ALN) based document clustering method, which...
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