Bursty and Hierarchical Structure in Streams

DMCA

Bursty and Hierarchical Structure in Streams (2002)

Cached

Download Links

Other Repositories/Bibliography

DBLP

by Jon Kleinberg

Citations:

394 - 2 self

BibTeX

@MISC{Kleinberg02burstyand,
    author = {Jon Kleinberg},
    title = {Bursty and Hierarchical Structure in Streams},
    year = {2002}
}

OpenURL

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.

Keyphrases

hierarchical structure document stream meaningful structure natural example particular research field time scale text data mining following intuitive premise published literature similar phenomenon fundamental problem text mining work news article certain feature

DMCA