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» Knowledge Engineering Technique for Cluster Development
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AIM
2011
12 years 11 months ago
Transfer Learning by Reusing Structured Knowledge
Transfer learning aims to solve new learning problems by extracting and making use of the common knowledge found in related domains. A key element of transfer learning is to ident...
Qiang Yang, Vincent Wenchen Zheng, Bin Li, Hankz H...
WACC
1999
ACM
14 years 7 days ago
Coordinating agent activities in knowledge discovery processes
Knowledge discovery in databases (KDD) is an increasingly widespread activity. KDD processes may entail the use of a large number of data manipulation and analysis techniques, and...
David Jensen, Yulin Dong, Barbara Staudt Lerner, E...
ICSM
1999
IEEE
14 years 7 days ago
Bunch: A Clustering Tool for the Recovery and Maintenance of Software System Structures
Software systems are typically modified in order to extend or change their functionality, improve their performance, port them to different platforms, and so on. For developers, i...
Spiros Mancoridis, Brian S. Mitchell, Yih-Farn Che...
ICDM
2009
IEEE
137views Data Mining» more  ICDM 2009»
13 years 5 months ago
Argumentation Based Constraint Acquisition
Efficient acquisition of constraint networks is a key factor for the applicability of constraint problem solving methods. Current techniques ease knowledge acquisition by generati...
Kostyantyn M. Shchekotykhin, Gerhard Friedrich
KDD
2004
ACM
150views Data Mining» more  KDD 2004»
14 years 8 months ago
A framework for ontology-driven subspace clustering
Traditional clustering is a descriptive task that seeks to identify homogeneous groups of objects based on the values of their attributes. While domain knowledge is always the bes...
Jinze Liu, Wei Wang 0010, Jiong Yang