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EDCC
2005
Springer
15 years 3 months ago
A Data Mining Approach to Identify Key Factors in Dependability Experiments
Abstract. Our paper presents a novel approach for identifying the key infrastructural factors determining the behavior of systems in the presence of faults by the application of in...
Gergely Pintér, Henrique Madeira, Marco Vie...
ICDE
2007
IEEE
179views Database» more  ICDE 2007»
15 years 3 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, ...
EDM
2009
184views Data Mining» more  EDM 2009»
14 years 7 months ago
Process Mining Online Assessment Data
Traditional data mining techniques have been extensively applied to find interesting patterns, build descriptive and predictive models from large volumes of data accumulated throug...
Mykola Pechenizkiy, Nikola Trcka, Ekaterina Vasily...
72
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KDD
2006
ACM
118views Data Mining» more  KDD 2006»
15 years 10 months ago
Maximum profit mining and its application in software development
While most software defects (i.e., bugs) are corrected and tested as part of the lengthy software development cycle, enterprise software vendors often have to release software pro...
Charles X. Ling, Victor S. Sheng, Tilmann F. W. Br...
ISMIS
2011
Springer
14 years 13 days ago
Data Access Paths in Processing of Sets of Frequent Itemset Queries
Abstract. Frequent itemset mining can be regarded as advanced database querying where a user specifies the dataset to be mined and constraints to be satisfied by the discovered i...
Piotr Jedrzejczak, Marek Wojciechowski