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SIGMOD
2006
ACM
131views Database» more  SIGMOD 2006»
16 years 3 months ago
An automatic construction and organization strategy for ensemble learning on data streams
As data streams are gaining prominence in a growing number of emerging application domains, classification on data streams is becoming an active research area. Currently, the typi...
Yi Zhang, Xiaoming Jin
138
Voted
SDM
2009
SIAM
180views Data Mining» more  SDM 2009»
16 years 18 days ago
Structure and Dynamics of Research Collaboration in Computer Science.
Complex systems exhibit emergent patterns of behavior at different levels of organization. Powerful network analysis methods, developed in physics and social sciences, have been s...
Andre Nash, Christian Bird, Earl T. Barr, Premkuma...
EDBT
2009
ACM
136views Database» more  EDBT 2009»
15 years 10 months ago
Rule-based multi-query optimization
Data stream management systems usually have to process many long-running queries that are active at the same time. Multiple queries can be evaluated more efficiently together tha...
Mingsheng Hong, Mirek Riedewald, Christoph Koch, J...
144
Voted
CIKM
2009
Springer
15 years 10 months ago
Potential collaboration discovery using document clustering and community structure detection
Complex network analysis is a growing research area in a wide variety of domains and has recently become closely associated with data, text and web mining. One of the most active ...
Cristian Klen dos Santos, Alexandre Evsukoff, Beat...
ICDE
2007
IEEE
155views Database» more  ICDE 2007»
15 years 9 months ago
Query-Aware Sampling for Data Streams
Data Stream Management Systems are useful when large volumes of data need to be processed in real time. Examples include monitoring network traffic, monitoring financial transacti...
Theodore Johnson, S. Muthukrishnan, Vladislav Shka...