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ISI
2007
Springer
16 years 21 days ago
Detecting Anomalies in Graphs
Graph data represents relationships, connections, or affinities. Innocent relationships produce repeated, and so common, substructures in graph data. We present techniques for dis...
David B. Skillicorn
BIRTHDAY
2005
Springer
16 years 3 days ago
Flexible Interconnection of Graph Transformation Modules
Modularization is a well-known concept to structure software systems as well as their specifications. Modules are equipped with export and import interfaces and thus can be connec...
Gregor Engels, Reiko Heckel, Alexey Cherchago
KR
2004
Springer
15 years 12 months ago
Improving the Forward Chaining Algorithm for Conceptual Graphs Rules
Simple Conceptual Graphs (SGs) are used to represent entities and relations between these entities: they can be translated into positive, conjunctive, existential first-order log...
Jean-François Baget
PAKDD
2010
ACM
203views Data Mining» more  PAKDD 2010»
15 years 11 months ago
Finding Itemset-Sharing Patterns in a Large Itemset-Associated Graph
Both itemset mining and graph mining have been studied independently. Here, we introduce a novel data structure, which is an unweighted graph whose vertices contain itemsets. From ...
Mutsumi Fukuzaki, Mio Seki, Hisashi Kashima, Jun S...
ECAI
2000
Springer
15 years 11 months ago
Plan Recognition through Goal Graph Analysis
We present a novel approach to plan recognition based on a two-stage paradigm of graph construction and analysis. First, a graph structure called a Goal Graph is constructed to rep...
Jun Hong