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» Mining Very Large Databases
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SIGMOD
2012
ACM
300views Database» more  SIGMOD 2012»
12 years 9 days ago
OPAvion: mining and visualization in large graphs
Leman Akoglu, Duen Horng Chau, U. Kang, Danai Kout...
ICDE
2009
IEEE
290views Database» more  ICDE 2009»
14 years 11 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
2004
ACM
144views Data Mining» more  KDD 2004»
14 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
KDD
2008
ACM
120views Data Mining» more  KDD 2008»
14 years 10 months ago
Entity categorization over large document collections
Extracting entities (such as people, movies) from documents and identifying the categories (such as painter, writer) they belong to enable structured querying and data analysis ov...
Arnd Christian König, Rares Vernica, Venkates...
ICDM
2003
IEEE
141views Data Mining» more  ICDM 2003»
14 years 3 months ago
Association Rule Mining in Peer-to-Peer Systems
We extend the problem of association rule mining – a key data mining problem – to systems in which the database is partitioned among a very large number of computers that are ...
Ran Wolff, Assaf Schuster