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» Mining Multiple Data Sources: Local Pattern Analysis
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SADM
2010
194views more  SADM 2010»
14 years 7 months ago
Seriation and matrix reordering methods: An historical overview
: Seriation is an exploratory combinatorial data analysis technique to reorder objects into a sequence along a one-dimensional continuum so that it best reveals regularity and patt...
Innar Liiv
BMCBI
2008
169views more  BMCBI 2008»
14 years 9 months ago
MausDB: An open source application for phenotype data and mouse colony management in large-scale mouse phenotyping projects
Background: Large-scale, comprehensive and standardized high-throughput mouse phenotyping has been established as a tool of functional genome research by the German Mouse Clinic a...
Holger Maier, Christoph Lengger, Bruno Simic, Helm...
KDD
2003
ACM
128views Data Mining» more  KDD 2003»
15 years 9 months ago
Similarity analysis on government regulations
Government regulations are semi-structured text documents that are often voluminous, heavily cross-referenced between provisions and even ambiguous. Multiple sources of regulation...
Gloria T. Lau, Kincho H. Law, Gio Wiederhold
FUIN
2008
136views more  FUIN 2008»
14 years 9 months ago
Multi-Dimensional Relational Sequence Mining
The issue addressed in this paper concerns the discovery of frequent multi-dimensional patterns from relational sequences. The great variety of applications of sequential pattern m...
Floriana Esposito, Nicola Di Mauro, Teresa Maria A...
DATAMINE
2008
137views more  DATAMINE 2008»
14 years 9 months ago
Two heads better than one: pattern discovery in time-evolving multi-aspect data
Abstract. Data stream values are often associated with multiple aspects. For example, each value observed at a given time-stamp from environmental sensors may have an associated ty...
Jimeng Sun, Charalampos E. Tsourakakis, Evan Hoke,...