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Call For Papers


Contributed papers are solicited describing original works in Statistics, Data Analytics and Big Data Technology. Topics and technical areas of interest include but are not limited to the following:



Data Analytics

Big Data Technology

Actuarial Science

Exploratory Data Analysis

Algorithms and Systems for Big Data Search


Statistical and mathematical modeling

Distributed, and Peer-to-peer Search


Big Data Analysis

Big Data Search Architectures, Scalability and Efficiency

Business Statistics

Data Mining

Data Acquisition, Integration, Cleaning, and Best Practices

Data Mining

Cloud Computing Architecture and Systems

Visualization Analytics for Big Data

Data Science

ETL and Big Data Warehousing

Computational Modeling and Data Integration

Energy Statistics

Data Visualization

Cloud/Grid/Stream Data Mining- Big Velocity Data

Engineering Statistics

Statistical Analysis

Link and Graph Mining

Spatial Analysis


Semantic-based Data Mining and Data Pre-processing

Image Processing


Mobility and Big Data

Medical Statistics


Multimedia and Multi-structured Data- Big Variety Data

Psychological Statistics


Anomaly and APT Detection in Very Large Scale Systems

Statistical Mechanics


Visualizing Large Scale Security Data

Statistical Learning Theory


Threat Detection using Big Data Analytics

Mathematical Statistics


Privacy Threats of Big Data

Multivariate Analysis


Privacy Preserving Big Data Collection/Analytics



HCI Challenges for Big Data Security & Privacy