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» Mining Very Large Databases
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SSDBM
1999
IEEE
118views Database» more  SSDBM 1999»
15 years 2 months ago
Evaluation of Ad Hoc OLAP: In-Place Computation
Large scale data analysis and mining activities, such as identifying interesting trends, making unusual patterns to stand out and verifying hypotheses, require sophisticated infor...
Damianos Chatziantoniou
KDD
2010
ACM
188views Data Mining» more  KDD 2010»
14 years 11 months ago
Inferring networks of diffusion and influence
Information diffusion and virus propagation are fundamental processes talking place in networks. While it is often possible to directly observe when nodes become infected, observi...
Manuel Gomez-Rodriguez, Jure Leskovec, Andreas Kra...
KDD
2012
ACM
194views Data Mining» more  KDD 2012»
13 years 8 days ago
A sparsity-inducing formulation for evolutionary co-clustering
Traditional co-clustering methods identify block structures from static data matrices. However, the data matrices in many applications are dynamic; that is, they evolve smoothly o...
Shuiwang Ji, Wenlu Zhang, Jun Liu
PKDD
2007
Springer
95views Data Mining» more  PKDD 2007»
15 years 4 months ago
Pruning Relations for Substructure Discovery of Multi-relational Databases
Multirelational data mining methods discover patterns across multiple interlinked tables (relations) in a relational database. In many large organizations, such a multi-relational ...
Hongyu Guo, Herna L. Viktor, Eric Paquet
DEXAW
2005
IEEE
142views Database» more  DEXAW 2005»
15 years 3 months ago
Competitive Advantage from Data Mining: Some Lessons Learnt in the Information Systems Field
Data mining (DM) is still a technology having great expectations to enable organizations to take more benefit of their huge databases. There exist some success stories where organ...
Mykola Pechenizkiy, Seppo Puuronen, Alexey Tsymbal