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» Spatial Data Mining: A Database Approach
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92
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SDM
2003
SIAM
125views Data Mining» more  SDM 2003»
15 years 2 months ago
Scalable, Balanced Model-based Clustering
This paper presents a general framework for adapting any generative (model-based) clustering algorithm to provide balanced solutions, i.e., clusters of comparable sizes. Partition...
Shi Zhong, Joydeep Ghosh
113
Voted
KDD
2009
ACM
163views Data Mining» more  KDD 2009»
16 years 1 months ago
Large-scale graph mining using backbone refinement classes
We present a new approach to large-scale graph mining based on so-called backbone refinement classes. The method efficiently mines tree-shaped subgraph descriptors under minimum f...
Andreas Maunz, Christoph Helma, Stefan Kramer
SIGMOD
2001
ACM
193views Database» more  SIGMOD 2001»
16 years 27 days ago
Epsilon Grid Order: An Algorithm for the Similarity Join on Massive High-Dimensional Data
The similarity join is an important database primitive which has been successfully applied to speed up applications such as similarity search, data analysis and data mining. The s...
Christian Böhm, Bernhard Braunmüller, Fl...
ER
2009
Springer
117views Database» more  ER 2009»
15 years 4 months ago
An Ontology-Based Framework for Geographic Data Integration
Ontologies have been extensively used to model domain-specific knowledge. Recent research has applied ontologies to enhance the discovery and retrieval of geographic data in Spatia...
Vânia Maria Ponte Vidal, Eveline R. Sacramen...
118
Voted
SAC
2004
ACM
15 years 6 months ago
A new algorithm for gap constrained sequence mining
The sequence mining problem consists in finding frequent sequential patterns in a database of time-stamped events. Several application domains require limiting the maximum tempor...
Salvatore Orlando, Raffaele Perego, Claudio Silves...