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» Clustering by pattern similarity in large data sets
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BMCBI
2006
143views more  BMCBI 2006»
15 years 6 months ago
IsoSVM - Distinguishing isoforms and paralogs on the protein level
Background: Recent progress in cDNA and EST sequencing is yielding a deluge of sequence data. Like database search results and proteome databases, this data gives rise to inferred...
Michael Spitzer, Stefan Lorkowski, Paul Cullen, Al...
ADMA
2008
Springer
186views Data Mining» more  ADMA 2008»
16 years 28 days ago
A Distributed Privacy-Preserving Association Rules Mining Scheme Using Frequent-Pattern Tree
Association rules mining is a frequently used technique which finds interesting association and correlation relationships among large set of data items which occur frequently toge...
Chunhua Su, Kouichi Sakurai
CVPR
2012
IEEE
13 years 9 months ago
Multi-attribute spaces: Calibration for attribute fusion and similarity search
Recent work has shown that visual attributes are a powerful approach for applications such as recognition, image description and retrieval. However, fusing multiple attribute scor...
Walter J. Scheirer, Neeraj Kumar, Peter N. Belhume...
ADBIS
2003
Springer
204views Database» more  ADBIS 2003»
15 years 10 months ago
Hierarchical Bitmap Index: An Efficient and Scalable Indexing Technique for Set-Valued Attributes
Abstract. Set-valued attributes are convenient to model complex objects occurring in the real world. Currently available database systems support the storage of set-valued attribut...
Mikolaj Morzy, Tadeusz Morzy, Alexandros Nanopoulo...
NDSS
2009
IEEE
16 years 1 months ago
Scalable, Behavior-Based Malware Clustering
Anti-malware companies receive thousands of malware samples every day. To process this large quantity, a number of automated analysis tools were developed. These tools execute a m...
Ulrich Bayer, Paolo Milani Comparetti, Clemens Hla...