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ICDM
2003
IEEE
92views Data Mining» more  ICDM 2003»
13 years 10 months ago
Validating and Refining Clusters via Visual Rendering
Clustering is an important technique for understanding and analysis of large multi-dimensional datasets in many scientific applications. Most of clustering research to date has be...
Keke Chen, Ling Liu
IJCAI
2001
13 years 6 months ago
Integrating Expectations from Different Sources to Help End Users Acquire Procedural Knowledge
Role-limiting approaches using explicit theories of problem-solving have been successful for acquiring knowledge from domain experts1 . However most systems using this approach do...
Jim Blythe
ICSNW
2004
Springer
238views Database» more  ICSNW 2004»
13 years 10 months ago
Knowledge Sifter: Agent-Based Ontology-Driven Search over Heterogeneous Databases Using Semantic Web Services
Knowledge Sifter is a scaleable agent-based system that supports access to heterogeneous information sources such as the Web, open-source repositories, XML-databases and the emergi...
Larry Kerschberg, Mizan Chowdhury, Alberto Damiano...
FLAIRS
1998
13 years 6 months ago
Knowledge Refinement During Developmental and Field Validation of Expert Systems
To ensure that Expert System (ES) performance remains above the level of acceptance throughout the entire life cycle of the system, its knowledge base must periodically be updated...
Neli Zlatareva
AIIA
2001
Springer
13 years 9 months ago
A Knowledge-Based Neurocomputing Approach to Extract Refined Linguistic Rules from Data
– This paper proposes a knowledge-based neurocomputing approach to extract and refine a set of linguistic rules from data. A neural network is designed along with its learning al...
Giovanna Castellano, Anna Maria Fanelli