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KDD
2003
ACM
148views Data Mining» more  KDD 2003»
16 years 1 months ago
Mining concept-drifting data streams using ensemble classifiers
Recently, mining data streams with concept drifts for actionable insights has become an important and challenging task for a wide range of applications including credit card fraud...
Haixun Wang, Wei Fan, Philip S. Yu, Jiawei Han
93
Voted
CORR
2010
Springer
138views Education» more  CORR 2010»
15 years 22 days ago
Data Stream Clustering: Challenges and Issues
Very large databases are required to store massive amounts of data that are continuously inserted and queried. Analyzing huge data sets and extracting valuable pattern in many appl...
Madjid Khalilian, Norwati Mustapha
82
Voted
GLOBECOM
2008
IEEE
15 years 7 months ago
PeerGraph: A Distributed Data Structure for Peer-to-Peer Streaming
Video streaming over peer-to-peer networks has received significant attention recently. Accordingly, much work is done on video streaming under the assumption that all the peers ...
Ali Saman Tosun, Turgay Korkmaz
183
Voted
SIGMOD
2008
ACM
125views Database» more  SIGMOD 2008»
16 years 24 days ago
Categorical skylines for streaming data
The problem of skyline computation has attracted considerable research attention. In the categorical domain the problem becomes more complicated, primarily due to the partially-or...
Nikos Sarkas, Gautam Das, Nick Koudas, Anthony K. ...
124
Voted
ICDE
2012
IEEE
233views Database» more  ICDE 2012»
13 years 3 months ago
Accuracy-Aware Uncertain Stream Databases
Abstract— Previous work has introduced probability distributions as first-class components in uncertain stream database systems. A lacking element is the fact of how accurate the...
Tingjian Ge, Fujun Liu