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» A hybrid approach to mining frequent sequential patterns
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ENTCS
2008
73views more  ENTCS 2008»
14 years 9 months ago
Invariants for Non-Hierarchical Object Structures
We present a Hoare-style specification and verification approach for invariants in sequential OO programs. It allows invariants over nonhierarchical object structures, in which upd...
Ronald Middelkoop, Cornelis Huizing, Ruurd Kuiper,...
PAKDD
2004
ACM
199views Data Mining» more  PAKDD 2004»
15 years 3 months ago
Temporal Sequence Associations for Rare Events
In many real world applications, systematic analysis of rare events, such as credit card frauds and adverse drug reactions, is very important. Their low occurrence rate in large da...
Jie Chen, Hongxing He, Graham J. Williams, Huidong...
ICML
2007
IEEE
15 years 10 months ago
Entire regularization paths for graph data
Graph data such as chemical compounds and XML documents are getting more common in many application domains. A main difficulty of graph data processing lies in the intrinsic high ...
Koji Tsuda
KDD
2007
ACM
179views Data Mining» more  KDD 2007»
15 years 3 months ago
Mining statistically important equivalence classes and delta-discriminative emerging patterns
The support-confidence framework is the most common measure used in itemset mining algorithms, for its antimonotonicity that effectively simplifies the search lattice. This com...
Jinyan Li, Guimei Liu, Limsoon Wong
CIKM
2008
Springer
14 years 11 months ago
On effective presentation of graph patterns: a structural representative approach
In the past, quite a few fast algorithms have been developed to mine frequent patterns over graph data, with the large spectrum covering many variants of the problem. However, the...
Chen Chen, Cindy Xide Lin, Xifeng Yan, Jiawei Han