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» Using Data Mining in MURA Graphic Problems
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WWW
2010
ACM
15 years 6 months ago
Sampling community structure
We propose a novel method, based on concepts from expander graphs, to sample communities in networks. We show that our sampling method, unlike previous techniques, produces subgra...
Arun S. Maiya, Tanya Y. Berger-Wolf
ICDE
2007
IEEE
179views Database» more  ICDE 2007»
15 years 6 months ago
A New ILP-based Concept Discovery Method for Business Intelligence
In this work, we propose a multi-relational concept discovery method for business intelligence applications. Multi-relational data mining finds interesting patterns that span ove...
Seda Daglar Toprak, Pinar Senkul, Yusuf Kavurucu, ...
VLDB
2001
ACM
100views Database» more  VLDB 2001»
15 years 4 months ago
Improving Business Process Quality through Exception Understanding, Prediction, and Prevention
Business process automation technologies are being increasingly used by many companies to improve the efficiency of both internal processes as well as of e-services offered to cus...
Daniela Grigori, Fabio Casati, Umeshwar Dayal, Min...
ESOP
2006
Springer
15 years 3 months ago
Path Optimization in Programs and Its Application to Debugging
We present and solve a path optimization problem on programs. Given a set of program nodes, called critical nodes, we find a shortest path through the program's control flow g...
Akash Lal, Junghee Lim, Marina Polishchuk, Ben Lib...
ML
2000
ACM
244views Machine Learning» more  ML 2000»
14 years 11 months ago
Learnable Evolution Model: Evolutionary Processes Guided by Machine Learning
A new class of evolutionary computation processes is presented, called Learnable Evolution Model or LEM. In contrast to Darwinian-type evolution that relies on mutation, recombinat...
Ryszard S. Michalski