2022 3rd International Conference on Big Data Analytics and Practices IBDAP

活动简介

Big Data analytics and smart computing are emerging fields that have recently drawn much attention from research communities in computer science, information technology, social science, and many other disciplines.

The International Conference on Big Data Analytics and Practices (IBDAP 2022), initiated by Government Big Data Institute (GBDi), provides an international forum for exchanging ideas and information on current progresses, challenges, research results, system developments, and practical experiences in these emerging fields.

Sponsor Type:5; 9

组委会

Oversea Advisory Board

Dr. Simon See (Singapore), Chief Scientific Computing Scientist and Professor, Shanghai Jiao Tong University
Dr. Lerwen Liu (Singapore), Department of Engineering and Technology Management, National University of Singapore
Prof. Dr. Kaoru Sezaki (Japan), Director of Center for Spatial Information Science, University of Tokyo
Mr. Pierre Vande Vyvre (Switzerland), Project Leader of the ALICE Data Acquisition Project - Group Leader, CERN

Organizing Community and Committees

IEEE Computer Society Thailand Chapter
The Association of Council of IT Deans

Organizing Committee

Government Big Data Institute (GBDi), Digital Economy Promotion Agency, Ministry of Digital Economy and Society
E-mail: gbdi-conference@depa.or.th

征稿信息

重要日期

2022-05-30

初稿截稿日期

IBDAP calls for submission of work from a wide range of domains, including but not limited to smart systems (e.g. in cities, automobiles, farms, etc.), cyber-physical systems, Internet of Things applications, healthcare, social networks, and media. Authors are encouraged to submit papers covering big data topics, such as service-oriented technologies, machine learning, predictive analytics, data modeling, system architectures, data mining, and simulation.

征稿范围

Topics of interest (include but not limited to)

Big Data Analytics and Mining
Algorithms and systems for big data search and analytics
Machine learning for big data
Predictive analytics and simulation
Big data visualization and interactive data exploration
Big data mining applications
Knowledge extraction, discovery, analysis, and presentation
Big Data Platforms and 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, dependability, and availability
Open-source development and technology for big data
Big Data as a Service (BDaaS) platform and technologies
Big Data and Machine Learning Applications and Experiences
Innovative big data applications and services
Big data analytics in the public sector
Large-scale recommendation systems
Link and graph mining, social network mining
Mobility and big data
Stream data mining
Real-world and large-scale practices of big data