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PAKDD
2005
ACM
146views Data Mining» more  PAKDD 2005»
14 years 1 months ago
An Incremental Data Stream Clustering Algorithm Based on Dense Units Detection
Abstract. The data stream model of computation is often used for analyzing huge volumes of continuously arriving data. In this paper, we present a novel algorithm called DUCstream ...
Jing Gao, Jianzhong Li, Zhaogong Zhang, Pang-Ning ...
ICDCS
1999
IEEE
14 years 5 hour ago
Run-time Detection in Parallel and Distributed Systems: Application to Safety-Critical Systems
There is growing interest in run-time detection as parallel and distributed systems grow larger and more complex. This work targets run-time analysis of complex, interactive scien...
Beth Plale, Karsten Schwan
ICDM
2010
IEEE
164views Data Mining» more  ICDM 2010»
13 years 5 months ago
On Finding Similar Items in a Stream of Transactions
While there has been a lot of work on finding frequent itemsets in transaction data streams, none of these solve the problem of finding similar pairs according to standard similar...
Andrea Campagna, Rasmus Pagh
KDD
1997
ACM
221views Data Mining» more  KDD 1997»
13 years 12 months ago
MineSet: An Integrated System for Data Mining
MineSetTM , Silicon Graphics’ interactive system for data mining, integrates three powerful technologies: database access, analytical data mining, and data visualization. It sup...
Clifford Brunk, James Kelly, Ron Kohavi
DASFAA
2007
IEEE
234views Database» more  DASFAA 2007»
14 years 2 months ago
Estimating Missing Data in Data Streams
Networks of thousands of sensors present a feasible and economic solution to some of our most challenging problems, such as real-time traffic modeling, military sensing and trackin...
Nan Jiang, Le Gruenwald