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» Introduction to Data Mining and Knowledge Discovery
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ICDM
2006
IEEE
130views Data Mining» more  ICDM 2006»
15 years 4 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, ...
FLAIRS
2000
14 years 11 months ago
Graph-Based Hierarchical Conceptual Clustering
Hierarchical conceptual clustering has been proven to be a useful data mining technique. Graph-based representation of structural information has been shown to be successful in kn...
Istvan Jonyer, Lawrence B. Holder, Diane J. Cook
IAT
2009
IEEE
14 years 7 months ago
Facilitating Active Multidimensional Association Mining with User Preference Ontology
Multidimensional association mining from data warehouse has become a knowledge discovery paradigm because it provides more specific conditional settings for target mining data, th...
Chin-Ang Wu, Wen-Yang Lin, Chuan-Chun Wu
AUSDM
2006
Springer
118views Data Mining» more  AUSDM 2006»
15 years 1 months ago
Efficiently Identifying Exploratory Rules' Significance
How to efficiently discard potentially uninteresting rules in exploratory rule discovery is one of the important research foci in data mining. Many researchers have presented algor...
Shiying Huang, Geoffrey I. Webb
CBMS
2006
IEEE
15 years 4 months ago
An Infrastructure of Stream Data Mining, Fusion and Management for Monitored Patients
This paper proposes an infrastructure for data mining, fusion and patient care management using continuous stream data monitored from critically ill patients. Stream data mining, ...
Hyoil Han, Han C. Ryoo, Herbert Patrick