Conference Topics:

Papers should broadly address one of the conference topics listed below or a related area. Academicians and practitioners are encouraged to contribute new ideas, concepts, applications and case studies for discussion in the conference.

Top

Theory and Methods:

  • Exploratory Data Analysis
  • Classification
  • Operations Research
  • Cluster Analysis
  • Regression Modeling
  • Probability and Stochastic Processes
  • Data Visualization
  • Pattern Recognition
  • Time Series Analysis
  • Machine Learning
  • Forecasting
  • Bayesian Methods
  • Computational Intelligence
  • Panel Data
  • Multivariate Analysis
  • Statistical Inference
  • Directional Statistics
  • Design of Experiments
  • Big Data
  • Functional Data
  • Manifold-Valued Data


Top

Application Fields:

  • Marketing Models
  • Web Analytics
  • High Frequency Finance
  • Marketing Research
  • Text Mining
  • Insurance Models
  • Telecom Analytics
  • Revenue Management
  • Investment and Portfolio Models
  • Data Analysis in Retailing
  • Bioinformatics
  • Data Analysis in Banking and Financial Services
  • Analytics in Education
  • Health Analysis
  • Risk Analytics
  • Pricing Analytics
  • Industrial Applications
  • Legal Analytics
  • Analytics for Strategy
  • Supply Chain Analysis
  • Analytics for Public Policy
  • Statistical Quality Control
  • Quality Management
  • Analytics for Environment
  • Deep Learning
  • Social Network Analysis
  • Sports Analysis