The focus of KACSTIT 2016 conference is on big data related issues, including capture, storage, transmission, visualization and analysis. We welcome papers, which are conceptual, argumentative or empirical. Both basic and applied research perspectives are welcome. The main topics include, but not limited to:
- Data Science methodologies and practices
- Machine learning techniques and challenges in processing big data
- Distributed frameworks and infrastructures for processing Big Data
- Data acquisition, integration, validation, cleansing, and representation
- Crowdsourcing and collective intelligence
- Transaction and query processing, indexing and storage, and meta-data management
- Big data sharing, security and privacy Issues
- User and application programming interfaces to data platforms
- Visualization and summarization techniques
- Web and social media analytics
- Big data for Internet of Things
- Large scale natural language processing
- Multimedia (image, video, and sound) data processing
- Practical big data applications in: health, energy, oil and gas, transportation, aviation and aerospace, defense and security, hajj, social medial, marketing, and e-commerce.
KACSTIT 2016 Call for Papers:
 call for papers.pdf
You can submit your manuscript at the following link:
https://easychair.org/conferences/?conf=kacstit2016
Guidelines for Authors: here
Paper submission open |
1 March 2016 |
Deadline for submission |
15 May 2016 30 May 2016
|
Notification of acceptance |
30 July 2016 |
Camera ready submission |
30 August 2016 |
Conference |
6-9 November 2016 |
|
Important notes:
Accepted papers should be presented at the conference site by one of the authors. Failing to show up by any author of an accepted paper will lead to not publishing the paper in the proceeding.
KACST is not responsible to obtain entry visas for foreign attendees except for the authors of accepted publications.
KACST is not responsible for covering travel/living expenses for the authors or other conference attendees.