Connectionists: PAKDD workshop on Bio-Inspired Data Mining (BDM'16)- Auckland, NZ.

[shafiq burki]

5Th PAKDD workshop on Bio-Inspired Data Mining (BDM'16)- Auckland, NZ.

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Apologies for Multiple postings....
Paper submission deadline:         December 23, 2015
Author notification:               January 22, 2016
Camera-ready due:                  February 8, 2016
Workshop day:                      19 April 2016
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To submit your paper use the following link:
Web site: http://conference.fos.auckland.ac.nz/bdm/bdm16/index.html
Submission page: http://www.easychair.org/conferences/?conf=bdm16

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PAKDD 5th workshop on "Biologically Inspired Techniques for Data Mining
(BDM'16)", is to be held in conjunction with 20th Pacific-Asia Conference
on Knowledge Discovery and Data Mining (PAKDD'16 ), 19-24 April, 2016,
Auckland, New Zealand. 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
Trees

9. Computational Intelligence in Recommender System


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To submit your paper use the following link:
https://www.easychair.org/conferences/?conf=bdm16
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For more information please contact:
Dr. Shafiq Alam, University of Auckland, New Zealand.
sala038 at aucklanduni.ac.nz
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