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» On compressing frequent patterns
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ITC
2003
IEEE
205views Hardware» more  ITC 2003»
15 years 9 months ago
H-DFT: A Hybrid DFT Architecture For Low-Cost High Quality Structural Testing
This paper describes a Hybrid DFT (H-DFT) architecture for low-cost, high quality structural testing in the high volume manufacturing (HVM) environment. This structure efficiently...
David M. Wu, Mike Lin, Subhasish Mitra, Kee Sup Ki...
PAKDD
2007
ACM
115views Data Mining» more  PAKDD 2007»
15 years 10 months ago
Intelligent Sequential Mining Via Alignment: Optimization Techniques for Very Large DB
The shear volume of the results in traditional support based frequent sequential pattern mining methods has led to increasing interest in new intelligent mining methods to find mo...
Hye-Chung Kum, Joong Hyuk Chang, Wei Wang 0010
ICDM
2002
IEEE
156views Data Mining» more  ICDM 2002»
15 years 9 months ago
Predicting Rare Events In Temporal Domains
Temporal data mining aims at finding patterns in historical data. Our work proposes an approach to extract temporal patterns from data to predict the occurrence of target events,...
Ricardo Vilalta, Sheng Ma
WISE
2009
Springer
16 years 1 months ago
Entry Pairing in Inverted File
Abstract. This paper proposes to exploit content and usage information to rearrange an inverted index for a full-text IR system. The idea is to merge the entries of two frequently ...
Hoang Thanh Lam, Raffaele Perego, Nguyen Thoi Minh...
BIOCOMP
2007
15 years 5 months ago
Learning Node Replacement Graph Grammars in Metabolic Pathways
— This paper describes graph-based relational, unsupervised learning algorithm to infer node replacement graph grammar and its application to metabolic pathways. We search for fr...
Jacek P. Kukluk, Chang Hun You, Lawrence B. Holder...