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» Spatial Data Mining: A Database Approach
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SSDBM
2005
IEEE
128views Database» more  SSDBM 2005»
15 years 6 months ago
Fuzzy Decomposition of Spatially Extended Objects
Modern database applications including computer-aided design, multimedia information systems, medical imaging, molecular biology, or geographical information systems impose new re...
Hans-Peter Kriegel, Martin Pfeifle
110
Voted
IJCNN
2008
IEEE
15 years 7 months ago
Two-level clustering approach to training data instance selection: A case study for the steel industry
— Nowadays, huge amounts of information from different industrial processes are stored into databases and companies can improve their production efficiency by mining some new kn...
Heli Koskimäki, Ilmari Juutilainen, Perttu La...
147
Voted
KDD
2012
ACM
187views Data Mining» more  KDD 2012»
13 years 3 months ago
Sampling minimal frequent boolean (DNF) patterns
We tackle the challenging problem of mining the simplest Boolean patterns from categorical datasets. Instead of complete enumeration, which is typically infeasible for this class ...
Geng Li, Mohammed J. Zaki
106
Voted
ICDM
2007
IEEE
132views Data Mining» more  ICDM 2007»
15 years 7 months ago
Granularity Conscious Modeling for Probabilistic Databases
The convergence of embedded sensor systems and stream query processing suggests an important role for database techniques, in managing data that only partially – and often inacc...
Eirinaios Michelakis, Daisy Zhe Wang, Minos N. Gar...
122
Voted
SDM
2010
SIAM
146views Data Mining» more  SDM 2010»
15 years 2 months ago
Evaluating Query Result Significance in Databases via Randomizations
Many sorts of structured data are commonly stored in a multi-relational format of interrelated tables. Under this relational model, exploratory data analysis can be done by using ...
Markus Ojala, Gemma C. Garriga, Aristides Gionis, ...