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ICDM
2008
IEEE
130views Data Mining» more  ICDM 2008»
14 years 4 months ago
Mining Temporal Patterns with Quantitative Intervals
In this paper we consider the problem of discovering frequent temporal patterns in a database of temporal sequences, where a temporal sequence is a set of items with associated da...
Thomas Guyet, Rene Quiniou
SAS
1993
Springer
139views Formal Methods» more  SAS 1993»
14 years 1 months ago
Compiling FX on the CM-2
Type and effect systems provide a safe and effective means of programming high-performance parallel computers with a high-level language that integrates both functional and impe...
Jean-Pierre Talpin, Pierre Jouvelot
PSB
2003
13 years 11 months ago
Decomposing Gene Expression into Cellular Processes
We propose a probabilistic model for cellular processes, and an algorithm for discovering them from gene expression data. A process is associated with a set of genes that particip...
Eran Segal, Alexis Battle, Daphne Koller
KDD
1999
ACM
184views Data Mining» more  KDD 1999»
14 years 2 months ago
Mining Optimized Gain Rules for Numeric Attributes
—Association rules are useful for determining correlations between attributes of a relation and have applications in the marketing, financial, and retail sectors. Furthermore, op...
Sergey Brin, Rajeev Rastogi, Kyuseok Shim
KDD
2002
ACM
166views Data Mining» more  KDD 2002»
14 years 10 months ago
Frequent term-based text clustering
Text clustering methods can be used to structure large sets of text or hypertext documents. The well-known methods of text clustering, however, do not really address the special p...
Florian Beil, Martin Ester, Xiaowei Xu