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» Discovering frequent patterns in sensitive data
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IWPC
2002
IEEE
14 years 12 days ago
Mining System-User Interaction Traces for Use Case Models
While code understanding is the primary program comprehension activity, it is quite challenging to recognize the application requirements from code, since they have usually been o...
Mohammad El-Ramly, Eleni Stroulia, Paul G. Sorenso...
MM
2009
ACM
249views Multimedia» more  MM 2009»
14 years 4 days ago
MyFinder: near-duplicate detection for large image collections
The explosive growth of multimedia data poses serious challenges to data storage, management and search. Efficient near-duplicate detection is one of the required technologies for...
Xin Yang, Qiang Zhu, Kwang-Ting Cheng
RECOMB
2008
Springer
14 years 7 months ago
Accounting for Non-genetic Factors Improves the Power of eQTL Studies
Abstract. The recent availability of large scale data sets profiling single nucleotide polymorphisms (SNPs) and gene expression across different human populations, has directed muc...
Oliver Stegle, Anitha Kannan, Richard Durbin, John...
KDD
2005
ACM
127views Data Mining» more  KDD 2005»
14 years 29 days ago
Mining closed relational graphs with connectivity constraints
Relational graphs are widely used in modeling large scale networks such as biological networks and social networks. In this kind of graph, connectivity becomes critical in identif...
Xifeng Yan, Xianghong Jasmine Zhou, Jiawei Han
BMCBI
2007
190views more  BMCBI 2007»
13 years 7 months ago
Discriminative motif discovery in DNA and protein sequences using the DEME algorithm
Background: Motif discovery aims to detect short, highly conserved patterns in a collection of unaligned DNA or protein sequences. Discriminative motif finding algorithms aim to i...
Emma Redhead, Timothy L. Bailey