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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
ISCA
2000
IEEE
103views Hardware» more  ISCA 2000»
13 years 10 months ago
Piranha: a scalable architecture based on single-chip multiprocessing
The microprocessor industry is currently struggling with higher development costs and longer design times that arise from exceedingly complex processors that are pushing the limit...
Luiz André Barroso, Kourosh Gharachorloo, R...
CIDM
2007
IEEE
13 years 6 months ago
SSM : A Frequent Sequential Data Stream Patterns Miner
Data stream applications like sensor network data, click stream data, have data arriving continuously at high speed rates and require online mining process capable of delivering c...
C. I. Ezeife, Mostafa Monwar
BIOINFORMATICS
2010
127views more  BIOINFORMATICS 2010»
13 years 5 months ago
Analyzing taxonomic classification using extensible Markov models
Motivation: As next generation sequencing is rapidly adding new genomes, their correct placement in the taxonomy needs verification. However, the current methods for confirming cl...
Rao M. Kotamarti, Michael Hahsler, Douglas Raiford...
KAIS
2008
150views more  KAIS 2008»
13 years 5 months ago
A survey on algorithms for mining frequent itemsets over data streams
The increasing prominence of data streams arising in a wide range of advanced applications such as fraud detection and trend learning has led to the study of online mining of freq...
James Cheng, Yiping Ke, Wilfred Ng