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DEBU
2008
104views more  DEBU 2008»
13 years 8 months ago
Process Mining in Web Services: The WebSphere Case
Process mining has emerged as a way to discover or check the conformance of processes based on event logs. This enables organizations to learn from processes as they really take p...
Wil M. P. van der Aalst, H. M. W. (Eric) Verbeek
KDD
2009
ACM
151views Data Mining» more  KDD 2009»
14 years 8 months ago
A LRT framework for fast spatial anomaly detection
Given a spatial data set placed on an n ? n grid, our goal is to find the rectangular regions within which subsets of the data set exhibit anomalous behavior. We develop algorithm...
Mingxi Wu, Xiuyao Song, Chris Jermaine, Sanjay Ran...
LREC
2010
309views Education» more  LREC 2010»
13 years 9 months ago
Comment Extraction from Blog Posts and Its Applications to Opinion Mining
Blog posts containing many personal experiences or perspectives toward specific subjects are useful. Blogs allow readers to interact with bloggers by placing comments on specific ...
Huan-An Kao, Hsin-Hsi Chen
SIGKDD
2000
231views more  SIGKDD 2000»
13 years 7 months ago
KDD-99 Classifier Learning Contest: LLSoft's Results Overview
Kernel Miner is a new data-mining tool based on building the optimal decision forest. The tool won second place in the KDD'99 Classifier Learning Contest, August 1999. We des...
Itzhak Levin
CIDM
2007
IEEE
14 years 2 months ago
Data Mining of MISR Aerosol Product using Spatial Statistics
— In climate models, aerosol forcing is the major source of uncertainty in climate forcing, over the industrial period. To reduce this uncertainty, instruments on satellites have...
Tao Shi, Noel Cressie