Big Data 2018 - 6th International Workshop on Big Data

Big Data recently has become a ubiquitous term to describe large datasets that are challenging to store, search, share, visualize, analyze, and learn. Effective management and analysis of the Big Data would bring great benefits and unique opportunities to the users. However, there are still many open issues for deep investigation. The Big Data workshop 2018 (BigData 2018) is to promote the research in this emerging area of Big Data-intensive computing, algorithms, networks, systems, and applications. BigData 2018, held in conjunction with CyberC 2018, aims to provide a leading forum for sharing and exchanging experiences, new ideas, and research results on broad topics of Big Data Research, Development, and Applications. It solicits high quality papers that illustrate novel Big Data models, architecture and infrastructure, management, search and processing, security and privacy, applications, surveys and industrial experiences. Authors of Big Data workshop 2018 are free for enjoying CyberC 2018 and Summits.
Authors are cordially invited to submit original research papers in any aspects of Big Data with emphasis on but are not limited to the following topics:
Big Data Theory and Foundation
Theoretical and Computational Models for Big Data
Information Quantitative and Qualitative for Big Data
Theories and Methodologies for Big Data Processing
Architectures and Designs of Big Data Processing Systems
Big Data Infrastructure
Cloud/Grid/Stream Computing for Big Data
High Performance/Parallel Computing Platforms for Big Data
System Architectures, Platforms, Design, and Deployment for Big Data
Energy-efficient Computing for Big Data
Programming Models and Environments for Cluster, Cloud, and Grid Computing
Big Data Management
Advanced Database and Web Applications for Big Data
Data Model and Structure for Big Data
Data Preservation and Provenance
Interfaces to Database Systems and Analytics Software
Data and Information Integration and Fusion for Big Data
Data Management for Mobile, Pervasive and Grid Computing
Scientific and Social Data Management and Workflow Optimization
Big Data Search and Processing
Big Data Search Architecture, Scalability, and Efficiency
Algorithms and Architectures for Big Data Search, Mining and Processing
Search, Store and Process Big Data in Distributed, Grid and Cloud Systems
Semantic-based Big Data Analytics and Processing
Multi-Structured Multi-Domain Big Data Fusion and Integration
Ontology Representations and Processing in Big Data
Automatic and Machine Learning Methods for Big Data
Hadoop and MapReduce based Approaches for Big Data Processing
Big Data Protection, Security and Privacy
Threat and Intrusion Detection for High Speed Networks
High Performance and Efficiency Data Cryptography
Privacy Threats Analysis for Big Data Systems
Visualizing Large Scale Security Data
Security and Risk in Big Data Processing
Trust, Reputation and Recommendation Systems for Big Data Systems
Privacy and Security Preservation for Multi-Level Security (MLS) Cross-domain Big Data Computing System
Big Data Applications
Big Data Applications and Software in Science, Engineering, Healthcare, Finance, Business, Transportation, Telecommunications, etc.
Big Data Analytics in Small Business Enterprises, Public Sector and Government.
Big Data Industry Standards
Development and Deployment Experiences with Big Data Systems.