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» Detecting Change in Data Streams
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DASFAA
2010
IEEE
195views Database» more  DASFAA 2010»
13 years 11 months ago
BIDEL: An XML-Based System for Effective Fast Change Detection of Genomic and Proteomic Data
Abstract. A key issue to address in biological data integration is how to detect changes to the underlying biological data sources. In this demonstration, we present a novel system...
Song Yang, Sourav S. Bhowmick
SDM
2009
SIAM
191views Data Mining» more  SDM 2009»
14 years 4 months ago
Adaptive Concept Drift Detection.
An established method to detect concept drift in data streams is to perform statistical hypothesis testing on the multivariate data in the stream. Statistical decision theory off...
Anton Dries, Ulrich Rückert
IJCAI
2007
13 years 9 months ago
Detect and Track Latent Factors with Online Nonnegative Matrix Factorization
Detecting and tracking latent factors from temporal data is an important task. Most existing algorithms for latent topic detection such as Nonnegative Matrix Factorization (NMF) h...
Bin Cao, Dou Shen, Jian-Tao Sun, Xuanhui Wang, Qia...
IWMMDBMS
1998
117views more  IWMMDBMS 1998»
13 years 9 months ago
Motion-based Parsing of Compressed Video
An algorithm for detecting scene changes in compressed video streams is proposed. The proposed algorithm directly exploits the motion compensation information and the prediction e...
Suchendra M. Bhandarkar, Aparna A. Khombhadia
SIGMOD
2006
ACM
148views Database» more  SIGMOD 2006»
14 years 7 months ago
Research issues in data stream association rule mining
There exist emerging applications of data streams that require association rule mining, such as network traffic monitoring and web click streams analysis. Different from data in t...
Nan Jiang, Le Gruenwald