Basic Information
- Paper Review
All submissions to the ISBDAI will be sent to at least 2 reviewers and evaluated based on originality, technical and research content, relevance to conference, contributions, and readability. The full paper submissions will be chosen based on technical merit, interest, applicability, and how well they fit a coherent and balanced technical program. - Important Dates
- Submission Deadline: September 30 2018
- Conference Date: December 29-30 2018
- Publishing
The accepted papers will be published by ACM ICPS (ACM International Conference Proceeding Series). Some selected papers will be published in Journals. - Indexes
ACM ICPS will submit the proceedings to Ei Compendex, Scopus, ACM Digital Library for indexing.
Big Data and Artificial Intelligence 2018 Themes
Artificial Intelligence
Artificial intelligence is intelligence demonstrated by machines, in contrast to the natural intelligence (NI) displayed by humans and other animals. In computer science AI research is defined as the study of "intelligent agents".
Big Data
Big data is data sets that are so voluminous and complex that traditional data-processing application software are inadequate to deal with them. There are five concepts associated with big data: volume, variety, velocity and, the recently added, veracity and value.
Cloud Computing
Cloud computing is an information technology (IT) paradigm that enables ubiquitous access to shared pools of configurable system resources and higher-level services that can be rapidly provisioned with minimal management effort.
Computer Science
Computer science is the study of the theory, experimentation, and engineering that form the basis for the design and use of computers. It is the scientific and practical approach to computation and its applications and the systematic study.
Internet of Things
The Internet of Things (IoT) is the network of physical devices, vehicles, home appliances and other items embedded with electronics, software, sensors, actuators, and connectivity which enables these objects to connect and exchange data.
Mobile Web
The mobile web (mobile internet) refers to browser-based Internet services accessed from handheld mobile devices, such as smartphones or feature phones, through a mobile or other wireless network.
Committee Members
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Prof. Dr. Michael McAleer
Chair Professor, Asia University, Taiwan -
Prof. Dr. Ramesh K. Agarwal
William Palm Professor of Engineering, Washington University in St. Louis, USA -
Prof. Dr. Michael E. Auer
Professor, Carinthia University of Applied Sciences, Austria -
Prof. Dr. M. James C. Crabbe
Supernumerary Fellow of Wolfson College, Oxford University, UK -
Prof. Dr. George Perry
Semmes Foundation Distinguished Professor, UTSA, USA -
Prof. Dr. Chia-Lin Chang
Distinguished Professor, National Chung Hsing University, Taiwan -
Prof. Dr. Yiu-ming CHEUNG
Professor, Hong Kong Baptist University, Hong Kong -
Prof. Dr. Hari Mohan Srivastava
Professor of University of Victoria, Canada -
Prof. Dr. Hung-Yuan Chung
Distinguished National Central University , Taiwan -
Prof. Dr. Philip Hans Franses
Distinguished Chair Professor of Erasmus University Rotterdam , The Netherlands
