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SAC
2006
ACM
16 years 13 days ago
Two-phase clustering strategy for gene expression data sets
In the context of genome research, the method of gene expression analysis has been used for several years. Related microarray experiments are conducted all over the world, and con...
Dirk Habich, Thomas Wächter, Wolfgang Lehner,...
CIDM
2007
IEEE
16 years 25 days ago
Incremental Local Outlier Detection for Data Streams
Outlier detection has recently become an important problem in many industrial and financial applications. This problem is further complicated by the fact that in many cases, outlie...
Dragoljub Pokrajac, Aleksandar Lazarevic, Longin J...
ICDM
2010
IEEE
115views Data Mining» more  ICDM 2010»
15 years 4 months ago
Polishing the Right Apple: Anytime Classification Also Benefits Data Streams with Constant Arrival Times
Classification of items taken from data streams requires algorithms that operate in time sensitive and computationally constrained environments. Often, the available time for class...
Jin Shieh, Eamonn J. Keogh
KDD
2006
ACM
129views Data Mining» more  KDD 2006»
16 years 6 months ago
Suppressing model overfitting in mining concept-drifting data streams
Mining data streams of changing class distributions is important for real-time business decision support. The stream classifier must evolve to reflect the current class distributi...
Haixun Wang, Jian Yin, Jian Pei, Philip S. Yu, Jef...
ICDE
2008
IEEE
139views Database» more  ICDE 2008»
16 years 7 months ago
Simultaneous Equation Systems for Query Processing on Continuous-Time Data Streams
We introduce Pulse, a framework for processing continuous queries over models of continuous-time data, which can compactly and accurately represent many real-world activities and p...
Jennie Rogers, Olga Papaemmanouil, Ugur Çet...