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KDD
2002
ACM
166views Data Mining» more  KDD 2002»
14 years 9 months ago
Frequent term-based text clustering
Text clustering methods can be used to structure large sets of text or hypertext documents. The well-known methods of text clustering, however, do not really address the special p...
Florian Beil, Martin Ester, Xiaowei Xu
SAC
2004
ACM
14 years 2 months ago
L0 buffer energy optimization through scheduling and exploration
Clustered L0 buffers are an interesting alternative to reduce energy consumption in the instruction memory hierarchy of embedded VLIW processors. Currently, the synthesis of L0 cl...
Murali Jayapala, Tom Vander Aa, Francisco Barat, G...
ICGI
2004
Springer
14 years 2 months ago
Identifying Clusters from Positive Data
The present work studies clustering from an abstract point of view and investigates its properties in the framework of inductive inference. Any class S considered is given by a hyp...
John Case, Sanjay Jain, Eric Martin, Arun Sharma, ...
JIB
2007
89views more  JIB 2007»
13 years 8 months ago
A Methodology for Comparative Functional Genomics
The continuing and rapid increase in the number of fully sequenced genomes is creating new opportunities for comparative studies. However, although many genomic databases store da...
Intikhab Alam, Mike Cornell, Darren M. Soanes, Cor...
CIKM
2006
Springer
14 years 14 days ago
Mining coherent patterns from heterogeneous microarray data
Microarray technology is a powerful tool for geneticists to monitor interactions among tens of thousands of genes simultaneously. There has been extensive research on coherent sub...
Xiang Zhang, Wei Wang 0010