Big Data 2013 - The 1stInternational Workshop on Big Data

Big Data recently has become a new ubiquitous term to describe large datasets that are challenging to store, search, share, visualize, and analyze.Effective managementand analysis of theBig Datawould bring great benefitsand unique opportunities to the users. However, the conventional methodsare limited on providing desirableoperational functions on Big Data. The Big Data workshop 2013 (BigData’13)is to promote research works in this emerging area of Big Data-inspired computing, networks, systems, and applications.BigData’13, held in conjunction with CyberC 2013, aims to provide a leading forum for exchanging and sharingexperiences, new ideas, and research results onbroad topics on 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 2013 are promoted to freely enjoy CyberC 2013 and Big Data Summits. Both of the events are co-sponsored and participated by a number of industry giants.
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 Design 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 and Store Big Data in Distributed, Grid and Cloud Systems
? Semantic-based Big Data Analytics and Processing
? Multi-Structured Big Data Fusion and Integration
? Ontology Representations and Processing in Big Data
? Machine Learning Methods for Big Data
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 Preservation for Distributed Big Data Computing System
Big Data Applications
? Big Data Applications and Software in Science, Engineering, Healthcare, Finance, Business, Transportation, Telecommunications,
? Big Data Analytics in Small Business Enterprises, Public Sector and Government.
? Big Data Industry Standards
? Development and Deployment Experiences with Big Data Systems.