Data Analysis – Theory and Methods:

• Big Data

• Clustering, Classification, Discrimination and Regression

• Data Science

• Databases and Data Management

• Data Visualization

• Dimensionality Reduction

• Image Analysis and Computer Vision

• Impact of Technical Revolution, Globalization on Statistical Process

• Information Retrieval and Library Science

• Knowledge Representation and Discovery

• Machine Learning and Knowledge Discovery

• Mathematical Foundations of Data Science

• Multivariate Methods

• Online Algorithms and Algorithms for Data Streams

• Social Network Analysis

• Statistical and Econometric Methods

• Symbolic Data Analysis

• Text Mining and Web Mining

Data Analysis – Applications:

• Archeology

• Biostatistics

• Business and Management

• Economics

• Education

• Finance

• Geosciences

• Linguistics

• Marketing

• Medicine and Health Sciences

• Musicology

• Psychology

• Risk Management

• Social Sciences