-------- Original Message -------- Subject: [computational.science] PAKDD 2nd workshop on "Biologically Inspired Techniques for Data Mining (BDM'13) Date: Mon, 19 Nov 2012 17:13:30 +1300 From: shafiq burki sala038@aucklanduni.ac.nz Organization: "ICCSA" To: Computational Science Mailing List computational.science@lists.iccsa.org
********************************** 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:https://conference.fos.auckland.ac.nz/bdm/bdm13/index.htmlhttps://www.easychair.org/utils/wild.cgi?url=https://conference.fos.auckland.ac.nz/bdm/bdm13/index.html Submission 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 Trees
++++++++++++++++++++++++++++++++++++++++++ To submit your paper use the following link: https://www.easychair.org/conferences/?conf=bdm13 ++++++++++++++++++++++++++++++++++++++ For more information please contact: Dr. Shafiq Alam, University of Auckland, New Zealand. sala038@aucklanduni.ac.nz