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BPM
2009
Springer
116views Business» more  BPM 2009»
15 years 4 months ago
Discovering Reference Models by Mining Process Variants Using a Heuristic Approach
Abstract. Recently, a new generation of adaptive Process-Aware Information Systems (PAISs) has emerged, which enables structural process changes during runtime. Such flexibility, ...
Chen Li, Manfred Reichert, Andreas Wombacher
ACMSE
2006
ACM
15 years 3 months ago
Discovering communities in complex networks
We propose an efficient and novel approach for discovering communities in real-world random networks. Communities are formed by subsets of nodes in a graph, which are closely rela...
Hemant Balakrishnan, Narsingh Deo
IS
2007
14 years 9 months ago
Discovering frequent geometric subgraphs
As data mining techniques are being increasingly applied to non-traditional domains, existing approaches for finding frequent itemsets cannot be used as they cannot model the req...
Michihiro Kuramochi, George Karypis
KDD
1999
ACM
220views Data Mining» more  KDD 1999»
15 years 1 months 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
BMCBI
2008
148views more  BMCBI 2008»
14 years 9 months ago
Discovering biclusters in gene expression data based on high-dimensional linear geometries
Background: In DNA microarray experiments, discovering groups of genes that share similar transcriptional characteristics is instrumental in functional annotation, tissue classifi...
Xiangchao Gan, Alan Wee-Chung Liew, Hong Yan