The conference welcomes abstract submissions to areas related to data analysis. This includes abstracts pertaining to

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

APPLICATIONS
* Archeologys
* Biostatistics
* Business and Management
* Economics
* Education
* Finance
* Geosciences
* Linguistics
* Marketing
* Medicine and Health Sciences
* Musicology
* Psychology
* Risk Management
* Social Sciences