BigCom 2015 - 1st International Conference on Big Data Computing and Communications (BigCom)

1st International Conference on Big Data Computing and Communications (BigCom) in Taiyuan, Shanxi, China, August 1-3, 2015
Our proceeding will be published by Springer and indexed by EI. The selected papers will be published in SCI/EI journals, such as International Journal of Distributed Sensor Networks and Tsinghua Science and Technology.
http://bigcom.tyut.edu.cn/
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General Co-Chairs:
JianZhong Li (Harbin Institute of Technology, China)
XiangYang Li (Illinois Institute of Technology)
TPC Co-Chairs:
Shlomo Argamon (Illinois Institute of Technology, USA)
Hui Xiong (Rutgers University, USA)
Yu Wang (University of North Carolina at Charlotte, USA)
TPC Track Chairs:
Yong Ge (University of North Carolina at Charlotte, USA)
Xufei Mao (Tsinghua University, China)
Shaojie Tang (University of Texas at Dallas, USA)
Local Arrangement Co-Chairs:
Junjie Chen (Taiyuan University of Technology, China)
Jiye Liang (Taiyuan Normal University, China)
Dengao Li (Taiyuan University of Technology, China)
SRC Chair:
Fan Li (Beijing Institute of Technology, China)
Industry Liaison Co-Chairs:
Big Data is at the center of the future knowledge society and economy. The techniques in which Big Data is generated, collected, processed, computed and communicated are developed quickly. Such a rapid technological evolution inevitably poses a number of Big challenges. The International Conference on Big Data Computing and Communications (BIGCOM2015) will be held on August 1-3, 2015 in Taiyuan, Shanxi, China. It aims to establish itself as the world's premier research conference in Big Data. The conference is targeted for researchers and practitioners interested in Big Data analytics, management, security and privacy, communication and high performance computing in its broadest sense. Both theoreticians as well as practitioners, including system builders and individuals applying Big Data in application domains will be benefited from this conference. We welcome original unpublished research papers emphasizing theoretical foundations, novel modeling, algorithmic methodologies, and data-driven applications. Visionary papers on new and emerging topics are also strongly encouraged. The topics are related but not limited to the following:
Computing
Data-intensive Parallel and Distributed Computing (Clouds, Clusters, Grids, P2P, etc)
Sampling and Pre-processing for Big Data
Data Streams Computing Techniques
Heterogeneous Source Computing
Scalability and Elasticity in Big Data Environments
Performance Analysis of Big Data Tools and Applications
Mining
Modeling and Algorithms for Big Data Analytics and Data Mining
Knowledge Mining from Big data
Network and Graph Mining
High Dimensional Data Mining
Data Mining Techniques for Sensor Data
Data Mining Techniques for Social Networks
Big Data Visualization
Communication
Next Generation Mobile Network
Heterogeneous Wireless Networks
Pervasive/Ubiquitous Networks
Cooperative and Cognitive Networks
Communications Patterns and User Experiences Analysis
Big Data Analytics for Communication Service Providers
Fault-tolerance and Reliability in Big Data Environments
Security
Security and Legal Issue in Mobile Applications/Apps
Privacy of Open Data
Access Control and Authentication
Pricing modeling and policy
Reliability and Security of Content and Data
Usability of Security Technologies and Services
Trust and Privacy Issues in Mobile Commerce Environment
Cryptographic Protocols
Management
Big Data Storage, Indexing, Searching and Querying
Big Data Quality Management
Heterogeneous Data Management
Knowledge Management and Ontology Engineering
Unstructured Data Modeling
Scheduling and Resource Management in Big Data Environments
Spatial, Temporal, Multimedia and Scientific Databases
Database and Data Warehouse Technologies for Big data
Applications
Infrastructures and Frameworks of Data- driven Applications
Mobile Device Apps based on Big Data
Big Data for Crowd-sourcing
Big Data for Advanced Manufacturing
Big Data for Open Government
Big Data for Healthcare
Big Data for Bioinformatics
Big Data for Intelligence Transportation
Big Data for Smart City
Big Data for Business Intelligence
Big Data for Geo Intelligence
Big Data for Logistics
Big Data for Virtual Metrology
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Paper Submission
All paper submissions will be handled electronically at the submission site. Authors should prepare a PDF version of their full paper. Any papers that do not adhere to the following guidelines will be immediately rejected:
Maximum of 10 pages
Font size no smaller than 10 points
Fit properly on US letter-sized paper (8.5 inches x 11 inches)
Submitted papers must be original work, and a paper with substantial similarity must neither be already published, nor be currently under review for publication in any other venue. If your paper does not meet the specified formatting instructions, it will be rejected without review.