Sciweavers

EWCBR
2004
Springer
13 years 10 months ago
Software Design Retrieval Using Bayesian Networks and WordNet
The complexity of software systems makes design reuse a necessary task in the software development process. CASE tools can provide cognitive assistance in this task, helping the so...
Paulo Gomes
EWCBR
2004
Springer
13 years 10 months ago
Exploiting Background Knowledge when Learning Similarity Measures
The definition of similarity measures—one core component of every CBR application—leads to a serious knowledge acquisition problem if domain and application specific requirem...
Thomas Gabel, Armin Stahl
EWCBR
2004
Springer
13 years 10 months ago
Maintaining Case-Based Reasoning Systems: A Machine Learning Approach
Over the years, many successful applications of case-based reasoning (CBR) systems have been developed in different areas. The performance of CBR systems depends on several factor...
Niloofar Arshadi, Igor Jurisica
EWCBR
2004
Springer
13 years 10 months ago
Explanation Oriented Retrieval
This paper is based on the observation that the nearest neighbour in a case-based prediction system may not be the best case to explain a prediction. This observation is based on t...
Dónal Doyle, Padraig Cunningham, Derek G. B...
EWCBR
2004
Springer
13 years 10 months ago
PlayMaker: An Application of Case-Based Reasoning to Air Traffic Control Plays
When events such as severe weather or congestion interfere with the normal flow of air traffic, air traffic controllers may implement plays that reroute one or more traffic flows. ...
Kenneth R. Allendoerfer, Rosina Weber
EWCBR
2004
Springer
13 years 10 months ago
An Analysis of Case-Base Editing in a Spam Filtering System
Because of the volume of spam email and its evolving nature, any deployed Machine Learning-based spam filtering system will need to have procedures for case-base maintenance. Key t...
Sarah Jane Delany, Padraig Cunningham
EWCBR
2004
Springer
13 years 10 months ago
Investigating Graphs in Textual Case-Based Reasoning
Textual case-based reasoning (TCBR) provides the ability to reason with domain-specific knowledge when experiences exist in text. Ideally, we would like to find an inexpensive way ...
Colleen Cunningham, Rosina Weber, Jason M. Proctor...
EWCBR
2004
Springer
13 years 10 months ago
Knowledge-Intensive Case-Based Reasoning in CREEK
Knowledge-intensive CBR assumes that cases are enriched with general domain knowledge. In CREEK, there is a very strong coupling between cases and general domain knowledge, in that...
Agnar Aamodt