Burst and Hierarc hical Structure in Streams Jon Klein erg Abstract fundamen tal problem in text data mining is to extract meaningful structure from do cumen streams that arriv con tin uously er time - PDF document

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Burst and Hierarc hical Structure in Streams Jon Klein erg Abstract fundamen tal problem in text data mining is to extract meaningful structure from do cumen streams that arriv con tin uously er time

Email and news articles are natural examples of suc streams eac haracterized topics that app ear gro in in tensit for erio of time and then fade The published literature in particular researc 57356eld can seen to exhibit similar phenomena er uc long

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Burst and Hierarc hical Structure in Streams Jon Klein erg Abstract fundamen tal problem in text data mining is to extract meaningful structure from do cumen streams that arriv con tin uously er time






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