ABC 2015 - Special Session: Advances in Big Data Computing

Big Data Computing is perhaps the biggest innovation in computing in the last decade. It is already a key player for enterprises, but the sheer volume and massive complexity of data can be overwhelming. The computer scientists are involved to develop of new tools and techniques that are required to manage, analyze, and extract useful information from these large, diverse, distributed and heterogeneous data sets to offer solutions for various challenges. This special session on "Big Data Computing" will provide a dedicated forum for discussing new research, development, and deployment efforts on big data computing and related areas.
We invite authors to submit original and unpublished high-quality research results are solicited to explore various challenging topics which include, but are not limited to:
Algorithms and Systems for Big Data Search
Big Data Analytics in e-Government and Society
Big Data as a Service
Big Data Classification Techniques
Big Data Clustering Algorithms
Big Data Mining and Security Intelligence
Big Data on HPC, Cloud, and Grid computing infrastructures
Big Data Processing in Computational Biology and Bioinformatics
Cloud Architecture for Big Data
Data Preservation and Provenance
Data-Intensive Computing
Green Big Data Computing
Large Scale Analytics and Optimization
Large-Scale Analytical Query Processing
Mobility and Big Data
Multimedia and Multi-Structured Data
Novel Statistical Techniques for Big Data
Optimizing Big Data with Search
Parallel and Distributed Machine Learning
Power-aware Algorithms for Big Data
Query Processing, Data Modeling, and Analysis
Scalable Mining of Heterogeneous Social and Information Networks
Scientific Computing with Big Data
Security, Privacy and Trust
Socio-economical Aspect of Big Data
Visualization for Big Data
Wireless and Mobility Support in Cloud Data Centre for Big Data