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CIBB
2008
15 years 4 months ago
Mining Association Rule Bases from Integrated Genomic Data and Annotations
During the last decade, several clustering and association rule mining techniques have been applied to highlight groups of coregulated genes in gene expression data. Nowadays, inte...
Ricardo Martínez, Nicolas Pasquier, Claude ...
135
Voted
ICDM
2006
IEEE
152views Data Mining» more  ICDM 2006»
15 years 8 months ago
Application of Graph-based Data Mining to Metabolic Pathways
We present a method for finding biologically meaningful patterns on metabolic pathways using the SUBDUE graph-based relational learning system. A huge amount of biological data t...
Chang Hun You, Lawrence B. Holder, Diane J. Cook
112
Voted
ICDM
2006
IEEE
149views Data Mining» more  ICDM 2006»
15 years 8 months ago
Pattern Mining in Frequent Dynamic Subgraphs
Graph-structured data is becoming increasingly abundant in many application domains. Graph mining aims at finding interesting patterns within this data that represent novel knowl...
Karsten M. Borgwardt, Hans-Peter Kriegel, Peter Wa...
112
Voted
PAKDD
2004
ACM
137views Data Mining» more  PAKDD 2004»
15 years 7 months ago
Fast and Light Boosting for Adaptive Mining of Data Streams
Supporting continuous mining queries on data streams requires algorithms that (i) are fast, (ii) make light demands on memory resources, and (iii) are easily to adapt to concept dr...
Fang Chu, Carlo Zaniolo
ICDM
2006
IEEE
81views Data Mining» more  ICDM 2006»
15 years 8 months ago
Full Perfect Extension Pruning for Frequent Graph Mining
Mining graph databases for frequent subgraphs has recently developed into an area of intensive research. Its main goals are to reduce the execution time of the existing basic algo...
Christian Borgelt, Thorsten Meinl