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SIGMOD
2002
ACM
132views Database» more  SIGMOD 2002»
16 years 7 months ago
Clustering by pattern similarity in large data sets
Clustering is the process of grouping a set of objects into classes of similar objects. Although definitions of similarity vary from one clustering model to another, in most of th...
Haixun Wang, Wei Wang 0010, Jiong Yang, Philip S. ...
CIKM
2008
Springer
15 years 9 months ago
SNIF TOOL: sniffing for patterns in continuous streams
Continuous time-series sequence matching, specifically, matching a numeric live stream against a set of predefined pattern sequences, is critical for domains ranging from fire spr...
Abhishek Mukherji, Elke A. Rundensteiner, David C....
SDM
2010
SIAM
283views Data Mining» more  SDM 2010»
15 years 8 months ago
Cascading Spatio-temporal Pattern Discovery: A Summary of Results
Given a collection of Boolean spatio-temporal(ST) event types, the cascading spatio-temporal pattern (CSTP) discovery process finds partially ordered subsets of event-types whose ...
Pradeep Mohan, Shashi Shekhar, James A. Shine, Jam...
IUSED
2008
15 years 8 months ago
Preparing Usability Supporting Architectural Patterns for Industrial Use
Usability supporting architectural patterns (USAPs) have been shown to provide developers with useful guidance for producing a software architecture design that supports usability...
Pia Stoll, Bonnie E. John, Len Bass, Elspeth Golde...
BMCBI
2010
110views more  BMCBI 2010»
15 years 7 months ago
Discovering local patterns of co - evolution: computational aspects and biological examples
Background: Co-evolution is the process in which two (or more) sets of orthologs exhibit a similar or correlative pattern of evolution. Co-evolution is a powerful way to learn abo...
Tamir Tuller, Yifat Felder, Martin Kupiec