-------- Forwarded Message -------- Subject: [AISWorld] CFP-Fifth IEEE Int. Conf. on Big Data Service and Applications, April 8-12, 2019, San Francisco, USA Date: Sun, 16 Dec 2018 13:51:11 -0500 From: Vijayan Sugumaran sugumara@oakland.edu To: aisworld@lists.aisnet.org CC: 'Xiaohui Yuan' xiaohui.yuan@unt.edu, 'Zeyu Gao' jerry.gao@sjsu.edu, 'Fan Jing Meng' mengfj@cn.ibm.com, 'Hong Zhu' hzhu@brookes.ac.uk, 'Simon Shim' simon.shim@sjsu.edu

IEEE Computer Society

Call for Papers - IEEE BigDataService 2019

The Fifth IEEE International Conference on Big Data Service and Applications

April 8 - 12, 2019, San Francisco, USA

http://big-dataservice.net/

IEEE BIGDATASERVICE 2019 invites authors to submit Work-in-Progress (WIP) papers which are based on new ideas but at the early stages of design and development. The papers should be related to the theme of the conference. The WIP papers will be reviewed by the members of the program committee. They will provide feedback in order to help authors for further improving their work. The WIP papers will be presented in a separate track at the conference. It will provide a unique opportunity for exchanging the new ideas with more experienced researchers at the conference. Once accepted, the paper will be included in the conference proceedings and will be submitted for inclusion to IEEE Xplore as well as other Abstracting and Indexing (A&I) databases.

WIP Papers Submission

WIP papers should be limited to 4 pages, or at most 2 additional pages with the pages overlength charge, including figures, tables, and references. Papers must be written in English. All papers must be prepared in the IEEE double column proceedings format. Please see the following link for details: http://www.ieee.org/conferences_events/conferences/publishing/templates.html

Authors must submit their papers at the following link: https://easychair.org/conferences/?conf=bds20190.

Important Dates

Full Paper Submission: 10 January 2019

Acceptance Notification: 22 January 2019

Registration Due: 31 January 2019

Conference Dates: 6–9 April 2019

CONTACT INFORMATION

For further details please get in touch with the PC Co-Chair:

Muhammad Younas (m.younas@brookes.ac.uk), Oxford Brookes University, UK

Topics of Interest include (but not limited to)

Big Data Foundations

- Foundational theoretical or computational models for big data

- Programming models, theories, and algorithms for big data

- Standards, protocols, and quality assurance for big data

Big Data Platforms and Technologies

- Innovative, concurrent, and scalable big data platforms

- Data indexing, cleaning, transformation, and curation technologies

- Big data processing frameworks and technologies

- Big data services and application development methods and tools

- Big data quality evaluation and assurance technologies

- Big data system reliability and availability - Open-source development and technology for big data

- Big Data as a Service (BDaaS) platform and technologies

Big Data Analytics and Services

- Algorithms and systems for big data search, analytics and visualization

- Artificial Intelligence for big data and based on big data

- Visualization analytics for big data

- Knowledge extraction, discovery, analysis, presentation, and visualization

Big Data Applications and Experiences

- Innovative big data applications and services in industries and domains e.g. healthcare, finance, insurance, transportation, agriculture, education, environment, multi-media, social networks, urban planning, disaster management, security

- Experiences and case studies of big data applications and services

- Real-world and large-scale practices of big data

Emerging Topics

- Sensor networks and Internet of Things - Networking and protocols

- Smart City

Special Tracks

Special Track on Real-time Big Data Services and Applications

- Models, algorithms, and technologies for real-time big data services and applications

- Experiences, practices and case studies of real-time big data services and applications

Special Track on Big Data Security, Privacy and Trust

- Models, algorithms and technologies for big data security and integrity

- Practical security and privacy technologies and applications for big data

Special Track on Big Data and analytics for Healthcare

- Models, algorithms, and technologies of big data for healthcare

- Big data services and applications for healthcare

- Experiences, practices and case studies of big data technologies for healthcare

Organizing Committee

General Chairs:

Simon Shim, San Jose State University, USA Xiaohui Yuan, University of North Texas, USA

Sudip Bhattacharjee, University of Connecticut, USA

Program Chairs:

Fanjing Meng, IBM Research, China

Muhammad Younas, Oxford Brookes University, UK Vijayan Sugumaran, Oakland University, USA

Workshop Chair:

Ping Ping, Hohai University, China

Publication Chair:

Pengcheng Zhang, Hohai University, China

Registration Chair:

Hyeran Jeon, San Jose State University, USA

Publicity Chair:

Birsen Sirkeci, San Jose State University, USA

Finance Chairs:

Jerry Gao, San Jose State University, USA

Chuli Xie, Jiangsu Normal University, China

Submission Chair:

Shengqiang Lu, Taiyuan University of Technology, China

Industry Outreach Chairs:

Jun Huang, Google, Inc.

Sourav Mazumder, IBM USA

Web Chair:

James Woo, San Jose State University

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Vijayan Sugumaran, Ph.D.

Professor of Management Information Systems

Chair, Department of Decision and Information Sciences

Co-Director, Center for Data Science and Big Data Analytics

School of Business Administration

Oakland University

Rochester, MI 48309

Phone: 248-370-4649

Fax: 248-370-4275

Email: mailto:sugumara@oakland.edu sugumara@oakland.edu

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