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» Knowledge on Demand: Knowledge and Expert Discovery
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ACL
2008
13 years 10 months ago
A Probabilistic Model for Fine-Grained Expert Search
Expert search, in which given a query a ranked list of experts instead of documents is returned, has been intensively studied recently due to its importance in facilitating the ne...
Shenghua Bao, Huizhong Duan, Qi Zhou, Miao Xiong, ...
DIS
2004
Springer
14 years 1 months ago
On the Convergence of Incremental Knowledge Base Construction.
Abstract. Ripple Down Rules is a practical methodology to build knowledgebased systems, which has proved successful in a wide range of commercial applications. However, little work...
Tri M. Cao, Eric Martin, Paul Compton
IDA
2008
Springer
13 years 8 months ago
ExpertDiscovery system application for the hierarchical analysis of eukaryotic transcription regulatory regions based on DNA cod
We developed Relational Data Mining approach which allows to overcome essential limitations of the Data Mining and Knowledge Discovery techniques. In the paper the approach was im...
I. V. Khomicheva, Eugenii E. Vityaev, Elena A. Ana...
EWCBR
2004
Springer
14 years 1 months ago
Explanations and Case-Based Reasoning: Foundational Issues
By design, Case-Based Reasoning (CBR) systems do not need deep general knowledge. In contrast to (rule-based) expert systems, CBR systems can already be used with just some initial...
Thomas Roth-Berghofer
KDD
1994
ACM
104views Data Mining» more  KDD 1994»
14 years 18 days ago
Comparing International Development Patterns Using Multi-Operator Learning and Discovery Tools
The multistrategy knowledge discovery tool, INLEN, is applied to databases consisting of economic and demographic facts and statistics about the countries of the world. Preliminar...
Kenneth A. Kaufman