PROMISE
2010
12 years 11 months ago
2010
Background: There are many data mining methods but few comparisons between them. For example, there are at least two ways to build quality optimizers, programs that find project o...
AIM
2010
13 years 2 months ago
2010
The European Conference on Case-Based Reasoning (CBR) in 2008 marked 15 years of international and European CBR conferences where almost seven hundred research papers were publish...
ITS
2010
Springer
13 years 2 months ago
2010
Springer
This paper presents a case-based reasoning (CBR) approach to provide adaptive support in microworlds. Interaction in microworlds is complex and unstructured, making the analysis of...
IFIP12
2010
13 years 2 months ago
2010
This paper presents a decision support system for treatment planning in brain cancer radiotherapy. The aim of a radiotherapy treatment plan is to apply radiation in a way that dest...
FLAIRS
2010
13 years 2 months ago
2010
Pervasive computing requires the ability to detect user activity in order to provide situation-specific services. Case-based reasoning can be used for activity recognition by usin...
AIR
1998
13 years 4 months ago
1998
Case-based Reasoning (CBR) began as a theory of human cognition, but has attracted relatively little direct experimental or theoretical investigation in psychology. However, psycho...
APIN
2004
13 years 4 months ago
2004
A hybrid neuro-symbolic problem-solving model is presented in which the aim is to forecast parameters of a complex and dynamic environment in an unsupervised way. In situations in ...
AICOM
2004
13 years 4 months ago
2004
Software complexity has increased substantially in the last decade. This has made software development teams work faster and under tight budgets. Reusing software can be a way of s...
AIR
2005
13 years 4 months ago
2005
In case-based reasoning (CBR) approaches to product recommendation, descriptions of the available products are stored in a case library and retrieved in response to a query represe...
AIR
2005
13 years 4 months ago
2005
Because of the changing nature of spam, a spam filtering system that uses machine learning will need to be dynamic. This suggests that a case-based (memory-based) approach may work...