Call for Papers

A PDF file of the Call for Papers is available here.

Contributed papers from scholars and practitioners are invited on any of the topics below as well as on related issues:

  • Data Analysis and Classification in Natural Sciences, Engineering, Medicine and Biology
  • Banking and Finance
  • Bioinformatics and Biostatistics
  • Biomedical Data Analysis and Imaging
  • Business and Industry
  • Classification, Discriminant Analysis, and Supervised Learning
  • Clustering and Unsupervised Learning
  • Complex Event Processing
  • Data Analysis in Archaeology
  • Databionics
  • Exploratory Data Mining
  • Formal Concept Analysis
  • Functional Data Analysis
  • Geospatial Planning
  • Graphics and Vision
  • High-Dimensional Data and Dimension Reduction
  • Image Analysis and Computer Vision
  • Information Retrieval and Library Science
  • Impact of Technical Revolution, Globalization on Statistical Process
  • Knowledge Discovery
  • Linguistics and Musicology
  • Machine Learning and Pattern Recognition
  • Marketing and Management
  • Medical and Health Sciences
  • Neural Networks and Deep Learning
  • Psychology and Educational Sciences
  • Social Network Analysis
  • Sparse Modeling
  • Statistical Data Analysis, Statistical Models and Model Selection
  • Swarm Systems
  • Symbolic Data Analysis
  • Text Mining, Web Mining, and Ontology Learning
  • Visualization

Author Guidelines

The length of your abstract is limited up to 300 words.

Please type your abstract in to the text box at the step 2.


Submissions for this conference were closed on 2017-04-30.