Calls for papers

 

International Journal of Computational Science and Engineering

 

Special Issue on: "Big Data-oriented Science, Technologies and Applications"

Guest Editors:
Junsheng Zhang, Institute of Scientific and Technical Information of China, China
Yunchuan Sun, Beijing Normal University, China

With recent advances in information and communication technologies, it is critical to improve the efficiency and accuracy of modern data processing techniques for information analysis and information services. The past decade has witnessed the tremendous technical advances in sensor networks, Internet/Web of Things, cloud computing, mobile computing, spatial/temporal data processing that have led to the coming of big data era.

Big data is an emerging paradigm applied to datasets whose size is beyond the ability of commonly used software tools to capture, manage and process the data within a tolerable elapsed time. The datasets of big data are often from various, heterogeneous and unstructured sources such as social media, sensors, scientific applications, surveillance, video and image archives, Internet texts and documents, medical records, business transactions and web logs. Furthermore, big data is of high value to and establishes trust for business decision-making.

Big data has presented new challenges for data processing techniques. Various technologies are being explored to support the handling of big data, such as massively parallel processing databases, scalable storage systems, cloud computing platforms and MapReduce. Big data is more than simply a matter of size; and it is an opportunity to find insights in new and emerging types of data and content, to make business more agile, to acquire intelligence and to realise more intelligent applications.

This special issue will present the emerging issues in the research of big data management and analysis for intelligent applications. Original and research articles are solicited in all aspects including theoretical studies, practical applications and experimental prototypes.

The issue will carry revised and substantially extended versions of selected papers presented at IIKI2015 and COINFO2015, but we also strongly encourage researchers unable to participate in the conferences to submit articles for this call

Subject Coverage
Suitable topics include, but are not limited to, the following:

• Big data management and frameworks
• Database and web applications
• Federated database systems
• Distributed database systems
• Distributed file systems
• Distributed storage systems
• Knowledge management and engineering
• Massively parallel processing (MPP) databases
• Novel data models
• Data preservation and provenance
• Data protection methods
• Data integrity and privacy standards and policies
• Novel data management methods
• Crowdsourcing
• Stream data management
• Scientific data management
• Models and fundamentals of big data
• Novel computational methodologies
• Algorithms for enhancing data quality
• Models and frameworks for big data
• Graph algorithms and big data
• Computational science
• Computational intelligence
• Conversion of data to information
• Conversion of data to knowledge
• Data mining
• Information mining
• Predictive analytics
• Knowledge discovery
• Cloud computing
• Databases and information integration
• Signal processing
• Natural language processing
• Information retrieval methods
• Information visualisation
• Big data analysis and algorithms
• Data and information fusion
• Algorithms
• Simulation and modelling
• Data-intensive computing
• Parallel algorithms
• Testing methods
• Multidimensional big data
• Multi-linear subspace learning
• Sampling methodologies
• Streaming
• Infrastructures for big data
• Cloud-based infrastructures (applications, storage and computing resources)
• Grid and stream computing for big data
• High-performance computing, including parallel and distributed processing
• Autonomic computing
• Cyber-infrastructures and system architectures
• Programming models and environments to support big data
• Software and tools for big data
• Big data open platforms
• Emerging architectural frameworks for big data
• Paradigms and models for big data beyond Hadoop/MapReduce
• Big data applications
• Multimedia and big data
• Social networks
• Web search and information extraction
• Scalable search architectures
• Cleaning big data (noise reduction), acquisition and integration
• Visualisation methods for search
• Time series analysis
• Recommendation systems
• Graph-based search and similar technologies
• Big data as a service
• Big data analytics in e-government and society
• Applications in science, engineering, healthcare, visualisation, business, education, security, humanities, bioinformatics, health informatics, medicine, finance, law, transportation, retailing and telecommunication
• Search-based applications
• Security and privacy of big data
• Cryptography
• Threat detection using big data analytics
• Privacy threats of big data
• Privacy-preserving big data collection
• Intrusion detection
• Socio-economical aspect of big data in the context of privacy and security

Notes for Prospective Authors

Submitted papers should not have been previously published nor be currently under consideration for publication elsewhere. (N.B. Conference papers may only be submitted if the paper has been completely re-written and if appropriate written permissions have been obtained from any copyright holders of the original paper).

All papers are refereed through a peer review process.

All papers must be submitted online. To submit a paper, please read our Submitting articles page.

Important Dates

Manuscripts due by: 15 April, 2016

Notification to authors: 31 May, 2016

Final versions due by: 31 July, 2016