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BDM 2014 : Biologically Inspired Techniques for Data Mining


When May 13, 2014 - May 16, 2014
Where Taiwan
Submission Deadline Jan 25, 2014
Notification Due Feb 15, 2014
Final Version Due Mar 1, 2014
Categories    data mining   swarm intelligence   web mining   artificial intelligence

Call For Papers

PAKDD 3rd workshop on "Biologically Inspired Techniques for Data Mining (BDM'14)", is to be held in conjunction with 18th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD'14 ), 13-16 May, 2014, Tainan, Taiwan. 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

To submit your paper use the following link:
Web site:
Submission page:


For more information please contact:
Dr. Shafiq Alam, University of Auckland, New Zealand.

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