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» Using concept analysis to detect co-change patterns
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174
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KDD
2012
ACM
235views Data Mining» more  KDD 2012»
13 years 6 months ago
A near-linear time approximation algorithm for angle-based outlier detection in high-dimensional data
Outlier mining in d-dimensional point sets is a fundamental and well studied data mining task due to its variety of applications. Most such applications arise in high-dimensional ...
Ninh Pham, Rasmus Pagh
131
Voted
DSS
2007
94views more  DSS 2007»
15 years 3 months ago
A formal modeling approach for supply chain event management
: As supply chains become more dynamic it is important to be able to model them formally as business processes. In particular, there is a need for a sense and respond capability to...
Rong Liu, Akhil Kumar, Wil M. P. van der Aalst
119
Voted
DASFAA
2009
IEEE
118views Database» more  DASFAA 2009»
15 years 4 months ago
Detecting Aggregate Incongruities in XML
The problem of identifying deviating patterns in XML repositories has important applications in data cleaning, fraud detection, and stock market analysis. Current methods determine...
Wynne Hsu, Qiangfeng Peter Lau, Mong-Li Lee
163
Voted
DEBS
2008
ACM
15 years 5 months ago
Relative temporal constraints in the Rete algorithm for complex event detection
Complex Event Processing is an important technology for information systems with a broad application space ranging from supply chain management, systems monitoring, and stock mark...
Karen Walzer, Tino Breddin, Matthias Groch
ECOI
2010
117views more  ECOI 2010»
15 years 3 months ago
Ensemble extraction for classification and detection of bird species
Advances in technology have enabled new approaches for sensing the environment and collecting data about the world. Once collected, sensor readings can be assembled into data stre...
Eric P. Kasten, Philip K. McKinley, Stuart H. Gage