[alife] PAKDD workshop: Biologically Inspired Techniques for Data Mining (BDM'13), Submission deadline: 15 January

shafiq burki sala038 at aucklanduni.ac.nz
Wed Jan 2 21:09:58 PST 2013

********************************** Apologies for Multiple postings....

Call For Papers: PAKDD 2nd workshop on "Biologically Inspired Techniques
for Data Mining (BDM'13)
To submit your paper use the following link:
 Web site: *MailScanner has detected a possible fraud attempt from
"www.easychair.org" claiming to be* https://conference.fos.auckland.ac.nz/
page: https://www.easychair.org/conferences/?conf=bdm13

 PAKDD 2nd workshop on "Biologically Inspired Techniques for Data Mining (
BDM'13)", is to be held in conjunction with 17th Pacific-Asia Conference on
Knowledge Discovery and Data Mining (PAKDD'13 ), Gold Coast, Australia,
April 14-17, 2013. PAKDD is one of the major conferences in knowledge
discovery and data mining.

The workshop calls for high quality research papers outlining current
research, literature surveys, theoretical and empirical studies, and other
relevant work including but not limited to the following areas:

1. Particle Swarm Optimization (PSO)
PSO based clustering
PSO based classification
PSO based outlier detection
PSO based feature selection

2. Ant Colony Optimization (ACO)
ACO based clustering
ACO based classification
ACO based outlier detection
ACO based feature selection
ACO based rules mining
ACO based sequential patterns mining

3. Artificial Neural Networks (ANN)
ANN based pattern matching and discovery
Classification rules discovery using ANN
Forecasting and prediction analysis using ANN

4. Genetic Algorithms (GAs)
Clustering, classification and parameter tuning using GAs
GAs based feature extraction and selection
Learning Classifier Systems

5. Artificial Immune System(AIS)
AIS for intrusion detection
AIS for data clustering
AIS for decision support system

6. Fuzzy Systems (FS) and biologically inspired techniques
Fuzzy clustering
Fuzzy classification
Fuzzy Association rules discovery

7. Bee Colony Optimization (BCO)
BCO for pattern matching
Clustering using BCO
8. Evolutionary Neural Nets, Evolutionary SVMs, and Evolutionary Decision

To submit your paper use the following link:
For more information please contact:
Dr. Shafiq Alam, University of Auckland, New Zealand.
sala038 at aucklanduni.ac.nz

Kind Regards,

Shafiq Alam
Postdoctoral Research Fellow,
Department of Computer Science,
University of Auckland, New Zealand.

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