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» Data Mining: Machine Learning, Statistics, and Databases
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WSCG
2004
170views more  WSCG 2004»
15 years 5 months ago
Geo-Spatial Data Viewer: From Familiar Land-covering to Arbitrary Distorted Geo-Spatial Quadtree Maps
In many application domains, data is collected and referenced by its geo-spatial location. Spatial data mining, or the discovery of interesting patterns in such databases, is an i...
Daniel A. Keim, Christian Panse, Jörn Schneid...
MLDM
2007
Springer
15 years 9 months ago
Applying Frequent Sequence Mining to Identify Design Flaws in Enterprise Software Systems
In this paper we show how frequent sequence mining (FSM) can be applied to data produced by monitoring distributed enterprise applications. In particular we show how we applied FSM...
Trevor Parsons, John Murphy, Patrick O'Sullivan
170
Voted
KDD
2008
ACM
195views Data Mining» more  KDD 2008»
16 years 4 months ago
Anomaly pattern detection in categorical datasets
We propose a new method for detecting patterns of anomalies in categorical datasets. We assume that anomalies are generated by some underlying process which affects only a particu...
Kaustav Das, Jeff G. Schneider, Daniel B. Neill
VLDB
2007
ACM
204views Database» more  VLDB 2007»
15 years 9 months ago
Optimization of Frequent Itemset Mining on Multiple-Core Processor
Multi-core processors are proliferated across different domains in recent years. In this paper, we study the performance of frequent pattern mining on a modern multi-core machine....
Eric Li, Li Liu
ICML
2000
IEEE
16 years 4 months ago
Correlation-based Feature Selection for Discrete and Numeric Class Machine Learning
Algorithms for feature selection fall into two broad categories: wrappers that use the learning algorithm itself to evaluate the usefulness of features and filters that evaluate f...
Mark A. Hall