Excellence in Research and Innovation for Humanity

ICBDIC 2017 : 19th International Conference on Big Data and Intelligent Computing

Durban, South Africa
January 12 - 13, 2017

Conference Information

ICBDIC Home Aims and Objectives Important Dates Call for Papers Committee Conference Program Conference Proceedings Conference Abstracts

Paper Submission

Paper Submission Paper Submission GUIDE

Conference Registration

Author RegistrationListener Registration Payment Registration Fees Sponsorship and Exhibition Volunteer Author Information Presentation Upload Conference Photos

Conference Publicity

Conference Flyer EventsKeynotesDoctoral Consortium

Conference Venue

Holiday Inn Express Durban Umhlanga
2 Ncondo Place, Cnr Ncondo Place & Ntusi Road,
off Umhlanga Rocks Drive
Umhlanga, Durban, 4320, South Africa
Conference Code: 17ZA01ICBDIC

Conference Aims and Objectives

The ICBDIC 2017: 19th International Conference on Big Data and Intelligent Computing aims to bring together leading academic scientists, researchers and research scholars to exchange and share their experiences and research results on all aspects of Big Data and Intelligent Computing. It also provides a premier interdisciplinary platform for researchers, practitioners and educators to present and discuss the most recent innovations, trends, and concerns as well as practical challenges encountered and solutions adopted in the fields of Big Data and Intelligent Computing.

Call for Contributions

All honorable authors are kindly encouraged to contribute to and help shape the conference through submissions of their research abstracts, papers and e-posters. Also, high quality research contributions describing original and unpublished results of conceptual, constructive, empirical, experimental, or theoretical work in all areas of Big Data and Intelligent Computing are cordially invited for presentation at the conference. The conference solicits contributions of abstracts, papers and e-posters that address themes and topics of the conference, including figures, tables and references of novel research materials.WASET

Conference Proceedings

All submitted conference papers will be blind peer reviewed by three competent reviewers. The post conference proceedings will be abstracted and indexed in the International Science Index , and submitted to be indexed in the Google Scholar, Scopus and Thomson Reuters. The conference abstracts and proceedings book, CD and certificate of presentation will be distributed to participants at the conference registration desk.

Special Journal Issues

ICBDIC 2017 has teamed up with the Special Journal Issue on Big Data and Intelligent Computing. A number of selected high-impact full text papers will also be considered for the special journal issues. All submitted papers will have the opportunity to be considered for this Special Journal Issue. The paper selection will be carried out during the peer review process as well as at the conference presentation stage. Submitted papers must not be under consideration by any other journal or publication. The final decision for paper selection will be made based on peer review reports by the Guest Editors and the Editor-in-Chief jointly. Selected full-text papers will be published online free of charge.

Conference Sponsor and Exhibitor Opportunities

The Conference offers the opportunity to become a conference sponsor or exhibitor. To participate as a sponsor or exhibitor, please download and complete the Conference Sponsorship Request Form.

Important Dates

Abstracts/Full-Text Paper Submission Deadline   November 30, 2016
Notification of Acceptance/Rejection   December 5, 2016
Final Paper (Camera Ready) Submission & Early Bird Registration Deadline   December 10, 2016
Conference Dates   January 12 - 13, 2017

Important Notes

Please ensure your submission meets WASET's strict guidelines for accepting scholarly papers. Downloadable versions of the check list for Full-Text Papers and Abstract Papers.

Please refer to the Paper Submission GUIDE before submitting your paper.

Selected Conference Papers

1) A Neural Network Classifier for Estimation of the Degree of Infestation by Late Blight on Tomato Leaves
Gizelle K. Vianna, Gabriel V. Cunha, Gustavo S. Oliveira
2) Accelerating the Uptake of Smart City Applications through Cloud Computing
Panagiotis Tsarchopoulos, Nicos Komninos, Christina Kakderi
3) Image Rotation Using an Augmented 2-Step Shear Transform
Hee-Choul Kwon, Heeyong Kwon
4) Analytics Model in a Telehealth Center Based on Cloud Computing and Local Storage
L. Ramirez, E. Guillén, J. Sánchez
5) Experimental Set-Up for Investigation of Fault Diagnosis of a Centrifugal Pump
Maamar Ali Saud Al Tobi, Geraint Bevan, K. P. Ramachandran, Peter Wallace, David Harrison
6) Use of Cloud Computing and Smart Devices in Healthcare
Nikunj Agarwal, M. P. Sebastian
7) An Efficient Architecture for Dynamic Customization and Provisioning of Virtual Appliance in Cloud Environment
Rajendar Kandan, Mohammad Zakaria Alli, Hong Ong
8) Mining Big Data in Telecommunications Industry: Challenges, Techniques, and Revenue Opportunity
Hoda A. Abdel Hafez
9) An Analysis of Innovative Cloud Model as Bridging the Gap between Physical and Virtualized Business Environments: The Customer Perspective
Asim Majeed, Rehan Bhana, Mak Sharma, Rebecca Goode, Nizam Bolia, Mike, Lloyd-Williams
10) Performance Comparison of Situation-Aware Models for Activating Robot Vacuum Cleaner in a Smart Home
Seongcheol Kwon, Jeongmin Kim, Kwang Ryel Ryu
11) An Integrated Cognitive Performance Evaluation Framework for Urban Search and Rescue Applications
Antonio D. Lee, Steven X. Jiang
12) A Two Level Load Balancing Approach for Cloud Environment
Anurag Jain, Rajneesh Kumar
13) An Agile, Intelligent and Scalable Framework for Global Software Development
Raja Asad Zaheer, Aisha Tanveer, Hafza Mehreen Fatima
14) Comparing Emotion Recognition from Voice and Facial Data Using Time Invariant Features
Vesna Kirandziska, Nevena Ackovska, Ana Madevska Bogdanova
15) An Empirical Evaluation of Performance of Machine Learning Techniques on Imbalanced Software Quality Data
Ruchika Malhotra, Megha Khanna