Please, apologize for multiple posting
Data and Knowledge Engineering Special Issue
“Intelligent Data Mining”
http://elvex.ugr.es/dke2005
Submission Deadline:
May 20th 2005
Aims and Scope:
Researchers in the Data Mining field have traditionally focused their efforts
on
obtaining fast and scalable algorithms in order to deal with huge amounts of
data.
It is nevertheless true that, more often than we might desire, the results
we obtain using these efficient algorithms are of limited use in practice.
The mere volume of these results causes what is known as a secondorder
data mining problem. As a consequence, the quality of the resulting knowledge
discovery process is poor, hence limiting data mining spread use and acceptance
in many real-world situations.
Better and more understandable models and exploratory techniques,
and maybe wholly new techniques, are a must for getting the most of data mining
techniques in case we want to foster the adoption of data mining in
actual real-world problems.
This special issue seeks papers dealing with models, methods, techniques,
and algorithms focused on the quality and interpretability of the obtained
results.
Both improvements on traditional data mining techniques and the application
of novel techniques will be taken into consideration.
Topics of interest:
- The use of fuzzy and rough sets to improve the
interpretability of data mining results.
- The applicability of genetic algorithms and
evolutionary computation in data mining tasks.
- Ontologies and their role in discovering complex patterns.
- The discovery of rarities, anomalies, exceptions,
and other kinds of knowledge.
- Alternative techniques for the representation and exploration
of data mining results.
- Novel models and techniques for summarizing data mining results.
- Methods for dealing with imprecision and uncertainty
in the data mining results.
Guest editors:
Juan-Carlos Cubero
University of Granada (Spain)
[EMAIL PROTECTED]
Fernando Berzal
University of Granada (Spain)
[EMAIL PROTECTED]
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