Calls for papers

 

International Journal of Sensor Networks

 

Special Issue on: "Advancements in Big Data Analysis"

Guest Editors:
Prof. Xiaobing Sun, Yangzhou University, China
Prof. Xiaofeng Zhou, Hohai University, China

Today, data is everywhere. For example, in sensor networks; social networks; internet documents; internet search indexing; call detail records; astronomy; genomics; biogeochemical, biological and other complex and often interdisciplinary scientific research; military surveillance; medical records; photography archives; video archives; and large-scale e-commerce.

Big data has attracted increasing attention in the academic and industry communities. Big data analysis refers to technologies, tools and methodologies that aim to transform massive quantities of raw data into “data about data” for analytical purposes. Big data analysis aims to extract, process and analyse knowledge from large amounts of various data. It can be seen as the mining or processing of massive data, so that “useful” information can be retrieved from various large dataset.

However, it becomes difficult to process data using on-hand database management tools or traditional data processing and analysis applications. Approaches and techniques are therefore required to solve various large-scale, dynamic big data analysis problems. The challenges in big data analysis include capture, storage, search, sharing, transfer, analysis and visualisation.

For this special issue, we are interested in inviting and gathering recent advanced theories, tools, techniques, frameworks and solutions to challenging problems in big data analysis. The topics suggested below can be discussed in terms of concepts, states of the art, standards, designs, implementations, and running experiments or applications.

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

• Data query protocol in the cloud and mobile environment
• Data gathering and preprocessing in the cloud and mobile environment
• Data heterogeneity in mobile environments
• Data representation techniques
• Searching, mining and discovering data in real-application environments
• Security with data analysis
• Computational intelligence applied to data analysis
• Data processing and management in real-application environments
• Performance improvement in data analysis
• Applications of big data analysis

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

Manuscript due: 30 October, 2013

Acceptance/rejection notification: 10 January, 2014

Final manuscript due: 10 February, 2014