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» Finding Frequent Patterns in a Large Sparse Graph
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KDD
2004
ACM
144views Data Mining» more  KDD 2004»
15 years 10 months ago
IncSpan: incremental mining of sequential patterns in large database
Many real life sequence databases, such as customer shopping sequences, medical treatment sequences, etc., grow incrementally. It is undesirable to mine sequential patterns from s...
Hong Cheng, Xifeng Yan, Jiawei Han
EDBT
2012
ACM
257views Database» more  EDBT 2012»
12 years 12 months ago
Indexing and mining topological patterns for drug discovery
Increased availability of large repositories of chemical compounds has created new challenges and opportunities for the application of data-mining and indexing techniques to probl...
Sayan Ranu, Ambuj K. Singh
ISMAR
2006
IEEE
15 years 3 months ago
Spatial relationship patterns: elements of reusable tracking and calibration systems
With tracking setups becoming increasingly complex, it gets more difficult to find suitable algorithms for tracking, calibration and sensor fusion. A large number of solutions e...
Daniel Pustka, Martin Huber, Manuel Bauer, Gudrun ...
ICDE
2004
IEEE
115views Database» more  ICDE 2004»
15 years 10 months ago
Unordered Tree Mining with Applications to Phylogeny
Frequent structure mining (FSM) aims to discover and extract patterns frequently occurring in structural data, such as trees and graphs. FSM finds many applications in bioinformat...
Dennis Shasha, Jason Tsong-Li Wang, Sen Zhang
IOR
2011
175views more  IOR 2011»
14 years 4 months ago
Clique Relaxations in Social Network Analysis: The Maximum k-Plex Problem
This paper introduces and studies the maximum k-plex problem, which arises in social network analysis and has wider applicability in several important areas employing graph-based ...
Balabhaskar Balasundaram, Sergiy Butenko, Illya V....