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RECOMB
2002
Springer
16 years 3 months ago
A new approach to analyzing gene expression time series data
We present algorithms for time-series gene expression analysis that permit the principled estimation of unobserved timepoints, clustering, and dataset alignment. Each expression p...
Ziv Bar-Joseph, Georg Gerber, David K. Gifford, To...
ICDM
2006
IEEE
132views Data Mining» more  ICDM 2006»
15 years 9 months ago
Mining for Tree-Query Associations in a Graph
New applications of data mining, such as in biology, bioinformatics, or sociology, are faced with large datasets structured as graphs. We present an efficient algorithm for minin...
Eveline Hoekx, Jan Van den Bussche
SDM
2010
SIAM
181views Data Mining» more  SDM 2010»
15 years 1 months ago
Efficient Nonnegative Matrix Factorization with Random Projections
The recent years have witnessed a surge of interests in Nonnegative Matrix Factorization (NMF) in data mining and machine learning fields. Despite its elegant theory and empirical...
Fei Wang, Ping Li
147
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EDBT
2009
ACM
166views Database» more  EDBT 2009»
15 years 8 months ago
Neighbor-based pattern detection for windows over streaming data
The discovery of complex patterns such as clusters, outliers, and associations from huge volumes of streaming data has been recognized as critical for many domains. However, patte...
Di Yang, Elke A. Rundensteiner, Matthew O. Ward
PVLDB
2010
139views more  PVLDB 2010»
14 years 10 months ago
Identifying the Most Influential Data Objects with Reverse Top-k Queries
Top-k queries are widely applied for retrieving a ranked set of the k most interesting objects based on the individual user preferences. As an example, in online marketplaces, cus...
Akrivi Vlachou, Christos Doulkeridis, Kjetil N&osl...