BDM 2014 - The 3rd International Workshop on Biologically Inspired Data Mining Techniques

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