%0 Journal Article %1 kleinberg2003 %A Kleinberg, Jon %D 2003 %J Data Mining and Knowledge Discovery %K analysis bayesian imported mail model multistates series stream time %N 4 %P 373--397 %T Bursty and Hierarchical Structure in Streams %U http://dx.doi.org/10.1023/A:1024940629314 %V 7 %X A fundamental problem in text data mining is to extract meaningful structure from document streams that arrive continuously over time. E-mail and news articles are two natural examples of such streams, each characterized by topics that appear, grow in intensity for a period of time, and then fade away. The published literature in a particular research field can be seen to exhibit similar phenomena over a much longer time scale. Underlying much of the text mining work in this area is the following intuitive premise—that the appearance of a topic in a document stream is signaled by a “burst of activity,” with certain features rising sharply in frequency as the topic emerges. ER -

@article{kleinberg2003, abstract = {A fundamental problem in text data mining is to extract meaningful structure from document streams that arrive continuously over time. E-mail and news articles are two natural examples of such streams, each characterized by topics that appear, grow in intensity for a period of time, and then fade away. The published literature in a particular research field can be seen to exhibit similar phenomena over a much longer time scale. Underlying much of the text mining work in this area is the following intuitive premise—that the appearance of a topic in a document stream is signaled by a “burst of activity,” with certain features rising sharply in frequency as the topic emerges. ER -}, added-at = {2007-10-13T20:31:04.000+0200}, author = {Kleinberg, Jon}, biburl = {https://www.bibsonomy.org/bibtex/2162eb7b3982f6edd7a1322c661d7bed7/andreab}, description = {SpringerLink - Journal Article}, interhash = {85f02e6bdb8c5c56b7e71d4eb63bf855}, intrahash = {162eb7b3982f6edd7a1322c661d7bed7}, journal = {Data Mining and Knowledge Discovery}, keywords = {analysis bayesian imported mail model multistates series stream time}, month = {#oct#}, number = 4, pages = {373--397}, timestamp = {2007-10-13T20:31:04.000+0200}, title = {Bursty and Hierarchical Structure in Streams}, url = {http://dx.doi.org/10.1023/A:1024940629314}, volume = 7, year = 2003 }