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» Process Mining Based on Clustering: A Quest for Precision
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LSSC
2001
Springer
15 years 4 months ago
On the Parallelization of the Sparse Grid Approach for Data Mining
Abstract. Recently we presented a new approach [5, 6] to the classification problem arising in data mining. It is based on the regularization network approach, but in contrast to ...
Jochen Garcke, Michael Griebel
ICSE
2008
IEEE-ACM
16 years 14 days ago
Symbolic mining of temporal specifications
Program specifications are important in many phases of the software development process, but they are often omitted or incomplete. An important class of specifications takes the f...
Mark Gabel, Zhendong Su
111
Voted
KDD
2006
ACM
198views Data Mining» more  KDD 2006»
16 years 2 days ago
Event detection from evolution of click-through data
Previous efforts on event detection from the web have focused primarily on web content and structure data ignoring the rich collection of web log data. In this paper, we propose t...
Qiankun Zhao, Tie-Yan Liu, Sourav S. Bhowmick, Wei...
KDD
2007
ACM
124views Data Mining» more  KDD 2007»
15 years 5 months ago
Hierarchical mixture models: a probabilistic analysis
Mixture models form one of the most widely used classes of generative models for describing structured and clustered data. In this paper we develop a new approach for the analysis...
Mark Sandler
209
Voted
ICDE
2007
IEEE
126views Database» more  ICDE 2007»
16 years 1 months ago
QPIAD: Query Processing over Incomplete Autonomous Databases
Incompleteness due to missing attribute values (aka "null values") is very common in autonomous web databases, on which user accesses are usually supported through media...
Hemal Khatri, Jianchun Fan, Yi Chen, Subbarao Kamb...