-------- Original Message -------- Subject: [computational.science] Final Call for papers for PAKDD's "Biologically Inspired Techniques for Data Mining (BDM'11)" Date: Wed, 22 Dec 2010 12:03:20 +1300 From: Shafiq Burki sala038@aucklanduni.ac.nz Organization: "ICCSA" To: Computational Science Mailing List computational.science@lists.iccsa.org
PAKDD Workshop on "Biologically Inspired Techniques for Data Mining (BDM'11)" *******************************************************************************
Workshop Site: https://conference.fos.auckland.ac.nz/bdm11/index.html Important Dates: Paper submission deadline: 31 December 2010 Author notification: 21 January 2011 Camera-ready due: 18 February 2011 * *[23:59:59 Pacific Standard Time] Submission Site: http://www.easychair.org/conferences/?conf=bdm11 ******************************************************************************** Conference Scope
BDM'11 is to be held in conjunction with 15th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD'11), Shenzhen, China, May 24-27, 2011. 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 System 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
************************************************************************************** Organizing Committee:
General chair and invited speaker: Ajith Abraham workshope co-chairs: Shafiq Alam and Gillian Dobbie **************************************************************************************