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ICDM
2010
IEEE
147views Data Mining» more  ICDM 2010»
14 years 7 months ago
Subgroup Discovery Meets Bayesian Networks -- An Exceptional Model Mining Approach
Whenever a dataset has multiple discrete target variables, we want our algorithms to consider not only the variables themselves, but also the interdependencies between them. We pro...
Wouter Duivesteijn, Arno J. Knobbe, Ad Feelders, M...
89
Voted
CEC
2008
IEEE
15 years 4 months ago
Reduced polynomial neural swarm net for classification task in data mining
—In this paper, we proposed a reduced polynomial neural swarm net (RPNSN) for the task of classification. Classification task is one of the most studied tasks of data mining. In ...
Bijan Bihari Misra, Satchidananda Dehuri, Pradipta...
SSD
2007
Springer
131views Database» more  SSD 2007»
15 years 4 months ago
Efficiently Mining Regional Outliers in Spatial Data
With the increasing availability of spatial data in many applications, spatial clustering and outlier detection has received a lot of attention in the database and data mining comm...
Richard Frank, Wen Jin, Martin Ester
PAKDD
1998
ACM
158views Data Mining» more  PAKDD 1998»
15 years 2 months ago
Data Mining Using Dynamically Constructed Recurrent Fuzzy Neural Networks
Abstract. Approaches to data mining proposed so far are mainly symbolic decision trees and numerical feedforward neural networks methods. While decision trees give, in many cases, ...
Yakov Frayman, Lipo Wang
CAISE
2006
Springer
15 years 1 months ago
Using Process Mining to Analyze and Improve Process Flexibility
Abstract. Contemporary information systems struggle with the requirement to provide flexibility and process support while still enforcing some degree of control. Workflow managemen...
Wil M. P. van der Aalst, Christian W. Günther...