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» Multi-Relational Data Mining, Using UML for ILP
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ILP
2007
Springer
14 years 11 days ago
Applying Inductive Logic Programming to Process Mining
The management of business processes has recently received a lot of attention. One of the most interesting problems is the description of a process model in a language that allows ...
Evelina Lamma, Paola Mello, Fabrizio Riguzzi, Serg...
KDD
2009
ACM
188views Data Mining» more  KDD 2009»
14 years 6 months ago
Mining discrete patterns via binary matrix factorization
Mining discrete patterns in binary data is important for subsampling, compression, and clustering. We consider rankone binary matrix approximations that identify the dominant patt...
Bao-Hong Shen, Shuiwang Ji, Jieping Ye
MSR
2006
ACM
14 years 6 days ago
Mining software repositories with CVSgrab
In this paper we address the process and team analysis categories of the MSR Mining Challenge 2006. We use our CVSgrab tool to acquire the data and interactively visualize the evo...
Lucian Voinea, Alexandru Telea
KDD
2009
ACM
175views Data Mining» more  KDD 2009»
13 years 10 months ago
Multi-class protein fold recognition using large margin logic based divide and conquer learning
Inductive Logic Programming (ILP) systems have been successfully applied to solve complex problems in bioinformatics by viewing them as binary classification tasks. It remains an...
Huma Lodhi, Stephen Muggleton, Michael J. E. Stern...
ICSM
2009
IEEE
14 years 27 days ago
Predicting change impact from logical models
To improve the ability of predicting the impact scope of a given change, we present two approaches applicable to the maintenance of object-oriented software systems. Our first ap...
Sunny Wong, Yuanfang Cai