BIGCOM 2018 - International Conference on Big Data Computing and Communications (BIGCOM2018)

Big Data promises to reshape tomorrow’s knowledge,society and economy. The technologies that are used to generate, collect,process, compute and communicate Big Data have made significant progresses in the past few years. Such a disruptive technology inevitably poses a number of significant challenges on the underlying system design. The International Conference on Big Data Computing and Communications (BIGCOM2018), which is to be held on August 8-10, IIT, Chicago, aims to address these challenges. The conference is targeted to attract researchers and practitioners who are interested in Big Data analytics, management, security and privacy,communication and high performance computing in its broadest sense. We welcome original, unpublished research papers that emphasize theoretical foundations,modeling,algorithmic methodologies, and data-driven applications. We also welcome visionary papers on new and emerging topics. The related topics includebut not limited to the following:
Computing
Data-intensive Parallel and Distributed Computing (Clouds, Clusters, Grids, P2P)
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
Computing on Network Edge
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
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