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PVLDB
2010
125views more  PVLDB 2010»
14 years 9 months ago
Interesting-Phrase Mining for Ad-Hoc Text Analytics
Large text corpora with news, customer mail and reports, or Web 2.0 contributions offer a great potential for enhancing business-intelligence applications. We propose a framework ...
Srikanta J. Bedathur, Klaus Berberich, Jens Dittri...
RECOMB
2003
Springer
15 years 11 months ago
Maximum entropy modeling of short sequence motifs with applications to RNA splicing signals
We propose a framework for modeling sequence motifs based on the maximum entropy principle (MEP). We recommend approximating short sequence motif distributions with the maximum en...
Gene W. Yeo, Christopher B. Burge
DAC
2003
ACM
16 years 8 days ago
Multilevel floorplanning/placement for large-scale modules using B*-trees
We present in this paper a multilevel floorplanning/placement framework based on the B*-tree representation, called MB*-tree, to handle the floorplanning and packing for large-sca...
Hsun-Cheng Lee, Yao-Wen Chang, Jer-Ming Hsu, Hanna...
MTA
2006
114views more  MTA 2006»
14 years 11 months ago
A structure-based approach for multimedia information filtering
While multimedia documents are sequentially presented to users, an information filtering (IF) system is useful to achieve a good retrieval performance in terms of both quality and ...
Dianhui Wang, Xiaodi Huang, Yong-Soo Kim, Joon Shi...
SDM
2009
SIAM
193views Data Mining» more  SDM 2009»
15 years 8 months ago
Agglomerative Mean-Shift Clustering via Query Set Compression.
Mean-Shift (MS) is a powerful non-parametric clustering method. Although good accuracy can be achieved, its computational cost is particularly expensive even on moderate data sets...
Xiaotong Yuan, Bao-Gang Hu, Ran He