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CPM
2011
Springer
283views Combinatorics» more  CPM 2011»
12 years 9 months ago
Frequent Submap Discovery
Combinatorial maps are nice data structures for modeling the topology of nD objects subdivided in cells (e.g., vertices, edges, faces, volumes, ...) by means of incidence and adjac...
Stéphane Gosselin, Guillaume Damiand, Chris...
ICDM
2006
IEEE
81views Data Mining» more  ICDM 2006»
13 years 11 months ago
Full Perfect Extension Pruning for Frequent Graph Mining
Mining graph databases for frequent subgraphs has recently developed into an area of intensive research. Its main goals are to reduce the execution time of the existing basic algo...
Christian Borgelt, Thorsten Meinl
AUSDM
2008
Springer
235views Data Mining» more  AUSDM 2008»
13 years 7 months ago
ShrFP-Tree: An Efficient Tree Structure for Mining Share-Frequent Patterns
Share-frequent pattern mining discovers more useful and realistic knowledge from database compared to the traditional frequent pattern mining by considering the non-binary frequen...
Chowdhury Farhan Ahmed, Syed Khairuzzaman Tanbeer,...
KDD
2004
ACM
207views Data Mining» more  KDD 2004»
14 years 6 months ago
SPIN: mining maximal frequent subgraphs from graph databases
One fundamental challenge for mining recurring subgraphs from semi-structured data sets is the overwhelming abundance of such patterns. In large graph databases, the total number ...
Jun Huan, Wei Wang 0010, Jan Prins, Jiong Yang
ICDM
2007
IEEE
179views Data Mining» more  ICDM 2007»
13 years 12 months ago
GDClust: A Graph-Based Document Clustering Technique
This paper introduces a new technique of document clustering based on frequent senses. The proposed system, GDClust (Graph-Based Document Clustering) works with frequent senses ra...
M. Shahriar Hossain, Rafal A. Angryk