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PAKDD
2007
ACM
166views Data Mining» more  PAKDD 2007»
14 years 1 months ago
gPrune: A Constraint Pushing Framework for Graph Pattern Mining
In graph mining applications, there has been an increasingly strong urge for imposing user-specified constraints on the mining results. However, unlike most traditional itemset co...
Feida Zhu, Xifeng Yan, Jiawei Han, Philip S. Yu
TOG
2002
102views more  TOG 2002»
13 years 7 months ago
Hierarchical pattern mapping
We present a multi-scale algorithm for mapping a texture defined by an input image onto an arbitrary surface. It avoids the generation and storage of a new, specific texture. The ...
Cyril Soler, Marie-Paule Cani, Alexis Angelidis
APCCM
2006
13 years 9 months ago
Network data mining: methods and techniques for discovering deep linkage between attributes
Network Data Mining identifies emergent networks between myriads of individual data items and utilises special algorithms that aid visualisation of `emergent' patterns and tre...
John Galloway, Simeon J. Simoff
GBRPR
2009
Springer
14 years 2 months ago
A Graph Based Data Model for Graphics Interpretation
A universal data model, named DG, is introduced to handle vectorized data uniformly during the whole recognition process. The model supports low level graph algorithms as well as h...
Endre Katona
DASFAA
2007
IEEE
220views Database» more  DASFAA 2007»
14 years 1 months ago
LAPIN: Effective Sequential Pattern Mining Algorithms by Last Position Induction for Dense Databases
Sequential pattern mining is very important because it is the basis of many applications. Although there has been a great deal of effort on sequential pattern mining in recent year...
Zhenglu Yang, Yitong Wang, Masaru Kitsuregawa