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KDD
1998
ACM
107views Data Mining» more  KDD 1998»
15 years 11 months ago
Giga-Mining
Wedescribe an industrial-strength data mining application in telecommunications.Theapplication requires building a short (7 byte) profile for all telephonenumbersseen on a large t...
Corinna Cortes, Daryl Pregibon
KDD
1997
ACM
135views Data Mining» more  KDD 1997»
15 years 11 months ago
Brute-Force Mining of High-Confidence Classification Rules
This paper investigates a brute-force technique for mining classification rules from large data sets. We employ an association rule miner enhanced with new pruning strategies to c...
Roberto J. Bayardo Jr.
203
Voted
JCIT
2010
174views more  JCIT 2010»
15 years 1 months ago
Efficient Ming of Top-K Closed Sequences
Sequence mining is an important data mining task. In order to retrieve interesting sequences from a large database, a minimum support threshold is needed to be specified. Unfortun...
Panida Songram
BMCBI
2007
112views more  BMCBI 2007»
15 years 6 months ago
Inferring biological functions and associated transcriptional regulators using gene set expression coherence analysis
Background: Gene clustering has been widely used to group genes with similar expression pattern in microarray data analysis. Subsequent enrichment analysis using predefined gene s...
Tae-Min Kim, Yeun-Jun Chung, Mun-Gan Rhyu, Myeong ...
193
Voted
TC
2010
15 years 5 months ago
Network-on-Chip Hardware Accelerators for Biological Sequence Alignment
—The most pervasive compute operation carried out in almost all bioinformatics applications is pairwise sequence homology detection (or sequence alignment). Due to exponentially ...
Souradip Sarkar, Gaurav Ramesh Kulkarni, Partha Pr...