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KDD
1999
ACM
220views Data Mining» more  KDD 1999»
14 years 7 days ago
Efficient Mining of Emerging Patterns: Discovering Trends and Differences
We introduce a new kind of patterns, called emerging patterns (EPs), for knowledge discovery from databases. EPs are defined as itemsets whose supports increase significantly from...
Guozhu Dong, Jinyan Li
BIBE
2004
IEEE
115views Bioinformatics» more  BIBE 2004»
13 years 11 months ago
Discovering Novel Interacting Motif Pairs from Large Protein-Protein Interaction Datasets
Current motif discovery methods can only detect individual motifs in groups of protein sequences--they do not discover potentially-interacting motif pairs underlying the interacti...
Soon-Heng Tan, Wing-Kin Sung, See-Kiong Ng
GIS
2008
ACM
14 years 9 months ago
Discovering controlling factors of geospatial variables
Efficient means of determining factors controlling spatial distribution of an environmental class variable are of significant interest in Earth science. In this paper, we present ...
Tomasz F. Stepinski, Wei Ding 0003, Christoph F. E...
BMCBI
2005
201views more  BMCBI 2005»
13 years 7 months ago
Principal component analysis for predicting transcription-factor binding motifs from array-derived data
Background: The responses to interleukin 1 (IL-1) in human chondrocytes constitute a complex regulatory mechanism, where multiple transcription factors interact combinatorially to...
Yunlong Liu, Matthew P. Vincenti, Hiroki Yokota
ICDE
2007
IEEE
170views Database» more  ICDE 2007»
14 years 9 months ago
Tree-Pattern Similarity Estimation for Scalable Content-based Routing
With the advent of XML as the de facto language for data publishing and exchange, scalable distribution of XML data to large, dynamic populations of consumers remains an important...
Raphaël Chand, Pascal Felber, Minos N. Garofa...