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» Process Diagnostics: A Method Based on Process Mining
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MSR
2010
ACM
15 years 11 months ago
Predicting the severity of a reported bug
—The severity of a reported bug is a critical factor in deciding how soon it needs to be fixed. Unfortunately, while clear guidelines exist on how to assign the severity of a bu...
Ahmed Lamkanfi, Serge Demeyer, Emanuel Giger, Bart...
ADMA
2010
Springer
248views Data Mining» more  ADMA 2010»
15 years 4 months ago
Classification Inductive Rule Learning with Negated Features
This paper reports on an investigation to compare a number of strategies to include negated features within the process of Inductive Rule Learning (IRL). The emphasis is on generat...
Stephanie Chua, Frans Coenen, Grant Malcolm
EMNLP
2009
15 years 4 months ago
Detecting Speculations and their Scopes in Scientific Text
Distinguishing speculative statements from factual ones is important for most biomedical text mining applications. We introduce an approach which is based on solving two sub-probl...
Arzucan Özgür, Dragomir R. Radev
IEAAIE
2009
Springer
16 years 1 months ago
An Efficient Algorithm for Maintaining Frequent Closed Itemsets over Data Stream
Data mining refers to the process of revealing unknown and potentially useful information from a large database. Frequent itemsets mining is one of the foundational problems in dat...
Show-Jane Yen, Yue-Shi Lee, Cheng-Wei Wu, Chin-Lin...
IJMMS
1998
93views more  IJMMS 1998»
15 years 6 months ago
Construction of problem-solving methods as parametric design
The knowledge-engineering literature contains a number of approaches for constructing or selecting problem solvers. Some of these approaches are based on indexing and selecting a ...
Annette ten Teije, Frank van Harmelen, A. Th. Schr...