Conference Code: 20ZA04ICBDDMA
The International Research Conference Aims and Objectives
The International Research Conference is a federated organization dedicated to bringing together a significant number of diverse scholarly events for presentation within the conference program. Events will run over a span of time during the conference depending on the number and length of the presentations.
ICBDDMA 2020: International Conference on Big Data-Driven Management and Applications 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-Driven Management and Applications. 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-Driven Management and Applications.
Call for Contributions
Prospective 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 Also, high quality research contributions describing original and unpublished results of conceptual, constructive, empirical, experimental, or theoretical work in all areas of Big Data-Driven Management and Applications are cordially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 peer-reviewed conference proceedings are indexed in the
Open Science Index,
Google Scholar,
Semantic Scholar,
Zenedo,
OpenAIRE,
BASE,
WorldCAT,
Sherpa/RoMEO, and other index databases.
Impact Factor Indicators.
Special Journal Issues
ICBDDMA 2020 has teamed up with the Special Journal Issue on
Big Data-Driven Management and Applications.
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 |
|
March 17, 2020 |
| Notification of Acceptance/Rejection |
|
March 31, 2020 |
| Final Paper (Camera Ready) Submission & Early Bird Registration Deadline |
|
March 16, 2020 |
| Conference Dates |
|
April 16 - 17, 2020 |
Important Notes
Please ensure your submission meets the conference'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 Study on the Power Control of Wind Energy Conversion SystemMehdi Nafar, Mohammad Reza Mansouri 2) Improved Rare Species Identification Using Focal Loss Based Deep Learning ModelsChad Goldsworthy, B. Rajeswari Matam 3) Feature Analysis of Predictive Maintenance ModelsZhaoan Wang 4) Building an Integrated Relational Database from Swiss Nutrition National Survey and Swiss Health Datasets for Data Mining PurposesIlona Mewes, Helena Jenzer, Farshideh Einsele 5) Performance Analysis of Traffic Classification with Machine LearningHtay Htay Yi, Zin May Aye 6) A Second Look at Gesture-Based Passwords: Usability and Vulnerability to Shoulder-Surfing AttacksLakshmidevi Sreeramareddy, Komalpreet Kaur, Nane Pothier 7) Integration of Educational Data Mining Models to a Web-Based Support System for Predicting High School Student PerformanceSokkhey Phauk, Takeo Okazaki 8) Comparing Machine Learning Estimation of Fuel Consumption of Heavy-Duty VehiclesVictor Bodell, Lukas Ekstrom, Somayeh Aghanavesi 9) An Application for Risk of Crime Prediction Using Machine LearningLuis Fonseca, Filipe Cabral Pinto, Susana Sargento 10) Improving Fake News Detection Using K-means and Support Vector Machine ApproachesKasra Majbouri Yazdi, Adel Majbouri Yazdi, Saeid Khodayi, Jingyu Hou, Wanlei Zhou, Saeed Saedy 11) Predicting the Success of Bank Telemarketing Using Artificial Neural NetworkMokrane Selma 12) Intelligent System and Renewable Energy: A Farming Platform in Precision AgricultureRyan B. Escorial, Elmer A. Maravillas, Chris Jordan G. Aliac 13) Author Profiling: Prediction of Learners’ Gender on a MOOC Platform Based on Learners’ CommentsTahani Aljohani, Jialin Yu, Alexandra. I. Cristea 14) Normal and Peaberry Coffee Beans Classification from Green Coffee Bean Images Using Convolutional Neural Networks and Support Vector MachineHira Lal Gope, Hidekazu Fukai 15) Machine Learning Techniques in Bank Credit AnalysisFernanda M. Assef, Maria Teresinha A. Steiner
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