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ICDM
2005
IEEE
166views Data Mining» more  ICDM 2005»
13 years 11 months ago
Sequential Pattern Mining in Multiple Streams
In this paper, we deal with mining sequential patterns in multiple data streams. Building on a state-of-the-art sequential pattern mining algorithm PrefixSpan for mining transact...
Gong Chen, Xindong Wu, Xingquan Zhu
WSDM
2009
ACM
136views Data Mining» more  WSDM 2009»
14 years 17 days ago
Mining common topics from multiple asynchronous text streams
Text streams are becoming more and more ubiquitous, in the forms of news feeds, weblog archives and so on, which result in a large volume of data. An effective way to explore the...
Xiang Wang 0002, Kai Zhang, Xiaoming Jin, Dou Shen
ASC
2008
13 years 5 months ago
Info-fuzzy algorithms for mining dynamic data streams
Most data mining algorithms assume static behavior of the incoming data. In the real world, the situation is different and most continuously collected data streams are generated by...
Lior Cohen, Gil Avrahami, Mark Last, Abraham Kande...
DASFAA
2005
IEEE
157views Database» more  DASFAA 2005»
13 years 11 months ago
Adaptively Detecting Aggregation Bursts in Data Streams
Finding bursts in data streams is attracting much attention in research community due to its broad applications. Existing burst detection methods suffer the problems that 1) the p...
Aoying Zhou, Shouke Qin, Weining Qian
SIGIR
2008
ACM
13 years 5 months ago
Advances in information and knowledge management
Several research areas today overlap between the tracks of databases, information retrieval and knowledge management, such as natural language processing, semantic web, digital li...
Aparna S. Varde, Jian Pei