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» Agent-Enriched Data Mining Using an Extendable Framework
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DAWAK
2006
Springer
14 years 10 days ago
Extending Visual OLAP for Handling Irregular Dimensional Hierarchies
Comprehensive data analysis has become indispensable in a variety of environments. Standard OLAP (On-Line Analytical Processing) systems, designed for satisfying the reporting need...
Svetlana Mansmann, Marc H. Scholl
OOPSLA
2004
Springer
14 years 2 months ago
A framework for detecting, assessing and visualizing performance antipatterns in component based systems
Component-based enterprise systems often suffer from performance issues as a result of poor system design. In this paper, we propose a framework to automatically detect, assess an...
Trevor Parsons
PVLDB
2010
127views more  PVLDB 2010»
13 years 3 months ago
Mining Significant Semantic Locations From GPS Data
With the increasing deployment and use of GPS-enabled devices, massive amounts of GPS data are becoming available. We propose a general framework for the mining of semantically me...
Xin Cao, Gao Cong, Christian S. Jensen
KDD
2003
ACM
148views Data Mining» more  KDD 2003»
14 years 9 months ago
Mining concept-drifting data streams using ensemble classifiers
Recently, mining data streams with concept drifts for actionable insights has become an important and challenging task for a wide range of applications including credit card fraud...
Haixun Wang, Wei Fan, Philip S. Yu, Jiawei Han
ICDM
2006
IEEE
130views Data Mining» more  ICDM 2006»
14 years 2 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, ...