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» Phenomenal Data Mining: From Data to Phenomena
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225
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SDM
2009
SIAM
138views Data Mining» more  SDM 2009»
16 years 4 months ago
ShatterPlots: Fast Tools for Mining Large Graphs.
Graphs appear in several settings, like social networks, recommendation systems, computer communication networks, gene/protein biological networks, among others. A deep, recurring...
Ana Paula Appel, Andrew Tomkins, Christos Faloutso...
244
Voted
KDD
2008
ACM
195views Data Mining» more  KDD 2008»
16 years 8 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
SDM
2009
SIAM
235views Data Mining» more  SDM 2009»
16 years 4 months ago
Topic Cube: Topic Modeling for OLAP on Multidimensional Text Databases.
As the amount of textual information grows explosively in various kinds of business systems, it becomes more and more desirable to analyze both structured data records and unstruc...
ChengXiang Zhai, Duo Zhang, Jiawei Han
178
Voted
ICRA
2005
IEEE
106views Robotics» more  ICRA 2005»
16 years 1 months ago
Towards Topological Exploration of Abandoned Mines
— The need for reliable maps of subterranean spaces too hazardous for humans to occupy has motivated the use of robotic technology as mapping tools. As such, we present a systemi...
Aaron Morris, David Silver, David I. Ferguson, Sco...
210
Voted
ICCS
2003
Springer
16 years 22 days ago
A Compress-Based Association Mining Algorithm for Large Dataset
The association mining is one of the primary sub-areas in the field of data mining. This technique had been used in numerous practical applications, including consumer market baske...
Mafruz Zaman Ashrafi, David Taniar, Kate A. Smith