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» Graph Mining using Graph Pattern Profiles
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ICCS
2007
Springer
13 years 11 months ago
Learning Common Outcomes of Communicative Actions Represented by Labeled Graphs
We build a generic methodology based on learning and reasoning to detect specific attitudes of human agents and patterns of their interactions. Human attitudes are determined in te...
Boris Galitsky, Boris Kovalerchuk, Sergei O. Kuzne...
APAQS
2001
IEEE
13 years 9 months ago
Object-Oriented Program Behavior Analysis Based on Control Patterns
Code-patterns are statically recurring structure specific to a programming language. It can be parallel to aid in designing software systems for solving particular problems. Contr...
C.-C. Hwang, S.-K. Huang, D.-J. Chen, D. Chen
ICDE
2009
IEEE
290views Database» more  ICDE 2009»
14 years 7 months ago
GraphSig: A Scalable Approach to Mining Significant Subgraphs in Large Graph Databases
Graphs are being increasingly used to model a wide range of scientific data. Such widespread usage of graphs has generated considerable interest in mining patterns from graph datab...
Sayan Ranu, Ambuj K. Singh
KDD
2005
ACM
92views Data Mining» more  KDD 2005»
14 years 5 months ago
Summarizing itemset patterns: a profile-based approach
Frequent-pattern mining has been studied extensively on scalable methods for mining various kinds of patterns including itemsets, sequences, and graphs. However, the bottleneck of...
Xifeng Yan, Hong Cheng, Jiawei Han, Dong Xin