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FLAIRS
2001
13 years 6 months ago
A Logical Framework for Frequent Pattern Discovery in Spatial Data
Inrecenttimes,severalextensionsofdataminingmethods andtechniqueshavebeenexploredaimingatdealingwith advanceddatabases.Manypromisingapplicationsof inductivelogicprogramming(ILP)tok...
Donato Malerba, Floriana Esposito, Francesca A. Li...
ICDM
2002
IEEE
167views Data Mining» more  ICDM 2002»
13 years 9 months ago
From Path Tree To Frequent Patterns: A Framework for Mining Frequent Patterns
In this paper, we propose a new framework for mining frequent patterns from large transactional databases. The core of the framework is of a novel coded prefix-path tree with two...
Yabo Xu, Jeffrey Xu Yu, Guimei Liu, Hongjun Lu
SDM
2004
SIAM
194views Data Mining» more  SDM 2004»
13 years 6 months ago
Finding Frequent Patterns in a Large Sparse Graph
Graph-based modeling has emerged as a powerful abstraction capable of capturing in a single and unified framework many of the relational, spatial, topological, and other characteri...
Michihiro Kuramochi, George Karypis
EWSN
2008
Springer
14 years 4 months ago
Discovery of Frequent Distributed Event Patterns in Sensor Networks
Today it is possible to deploy sensor networks in the real world and collect large amounts of raw sensory data. However, it remains a major challenge to make sense of sensor data, ...
Kay Römer
ICDM
2006
IEEE
130views Data Mining» more  ICDM 2006»
13 years 10 months ago
A Framework for Regional Association Rule Mining in Spatial Datasets
The immense explosion of geographically referenced data calls for efficient discovery of spatial knowledge. One critical requirement for spatial data mining is the capability to ...
Wei Ding 0003, Christoph F. Eick, Jing Wang 0007, ...