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活动简介

Big Data recently has become a new ubiquitous term to describe large datasets that are challenging to store, search, share, visualize, and analyze. Effective management and analysis of the Big Data would bring great benefits and unique opportunities to the users. However, the conventional methods are limited on providing desirable operations on Big Data. The Big Data workshop 2015 (BigData 2015) is to promote research works in this emerging area of Big Data-inspired computing, networks, systems, and applications. BigData 2015, held in conjunction with CyberC 2015, 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 2015 are promoted to freely enjoy CyberC 2015 and Big Data Summit. Both of the events are co-sponsored and participated by several Big Data related industry companies.

征稿信息

重要日期

2015-05-15
摘要截稿日期
2015-05-15
初稿截稿日期

征稿范围

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
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重要日期
  • 会议日期

    09月17日

    2015

    09月19日

    2015

  • 05月15日 2015

    摘要截稿日期

  • 05月15日 2015

    初稿截稿日期

  • 09月19日 2015

    注册截止日期

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University of Louisville, USA
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