IBDAP 2020

The International Conference on Big Data Analytics and Practices

Conference type:

Online VDO Conference via Microsoft Teams

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 2020), 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.

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

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

 

Important Dates

Paper submission deadline:	June 19, 2020  July 10, 2020
Notification of acceptance:	July 17, 2020  July 31, 2020
Camera-ready submission:	August 21, 2020  August 31, 2020
Regular registration deadline:	August 31, 2020  September 4, 2020

 

 

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 Committee

Government Big Data Institute (GBDi), Digital Economy Promotion Agency, Ministry of Digital Economy and Society

 

Program at a Glance : Virtual Conference

Time	Fri 25 September 2020	Sat 26 September 2020
09.00 – 09.30	Opening Ceremony	Plenary Session V (Thai Version)
09.30 – 10.00	Plenary Session I
10.00 – 10.30	Plenary Session II
10.30 – 10.45	Session Break	Session Break
10.45 – 11.15	Plenary Session III	Plenary Session VI (Thai Version)
11.15 – 11.45	Plenary Session IV
11.45 – 13.00	Break	Break
13.00 – 14.30	Oral Session I (IBDAP 2020)	Oral Session III (IBDAP 2020)	Oral Session IV (IBDAP 2020)
14.30 – 14.45	Session Break	Session Break
14.45 – 16.30	Oral Session II (IBDAP 2020)	Oral Session V (BDAP 2020) (Thai Version)	Oral Session VI (BDAP 2020) (Thai Version)

 

Technical Program

(Day 1) Friday, 25 September 2020

Time	Program
09.00 – 09.30	Opening Ceremony
09.30 – 10.00	Plenary Session I Keynote Speaker: Ms. Atcharin Pattanaphanchai Permanent Secretary of Digital Economy and Society, Thailand Title:
10.00 – 10.30	Plenary Session II Keynote Speaker: Dr. Simon See Head and chief solution technologist for Nvidia AI Technology Center, Singapore Title: State of the art in AI
10.30 – 10.45	Session Break
10.45 – 11.15	Plenary Session III Keynote Speaker: Dr. Anon Plangprasopchok Senior Researcher, Strategic Analytics Networks with Machine Learning and AI Research Team, NECTEC Title: Data Analytics in Thai People Map and Analytics Platform
11.15 – 11.45	Plenary Session IV Keynote Speaker: Dr. Sarunya Pumma MTS Software Developer Engineer, Advanced Micro Device (AMD), Austin, Texas Title: Data Movement Challenges in Large-Scale Deep Learning
11.45 – 13.00	Break
13.00 – 14.30	Oral Session I (IBDAP 2020)
13.00 – 13.15	Benefit Recommendation System: A Use Case for Pension Fund Data Analytics
13.15 – 13.30	Evaluation Matrix for Smart Machine-Learning Algorithm Choice
13.30 – 13.45	Automatic Hyper-Parameter Tuning for Gradient Boosting Machine
13.45 – 14.00	Cluster Validity Index for Big Data Based on Density Discriminant Analysis
14.00 – 14.15	A Spot-Recommendation System for Taxi Drivers Using Monte Carlo Optimization
14.30 – 14.45	Session Break
14.45 – 16.30	Oral Session II (IBDAP 2020)
14.45 – 15.00	Visual Representations of Different Family Structures Using an Interactive Data Exploration Technique
15.00 – 15.15	Sakdas: A Python Package for Data Profiling and Data Quality Auditing
15.15 – 15.30	Digital Transformation in Business and Management Research: Bibliometric and Co-Word Network Analysis
15.30 – 15.45	Paragraph Tagging Through Text Classification on Thai Primary School Textbooks
15.45 – 16.00	On the Network and Topological Analyses of Legal Documents Using Text Mining Approach
16.00 – 16.15	Towards a Natural Language Query Processing System
16.15 – 16.30	A Big Data Lake for Multilevel Streaming Analytics

 

(Day 2) Saturday, 26 September 2020

Time	Program
09.00 – 10.30	Plenary Session V (Thai Version) Keynote Speaker: Asst.Prof.Dr. Piyabutr Bunaramrueang Faculty of Law, Chulalongkorn University, Thailand Title: Personal Data Protection Act (PDPA)
10.30 – 10.45	Session Break
10.45 – 11.45	Plenary Session VI (Thai Version) Keynote Speaker: Assoc.Prof.Dr. Tiranee Achalakul Director, Government Big Data Institute, Thailand Title: Data Governance
11.45 – 13.00	Break
13.00 – 14.30	Oral Session III (IBDAP 2020)	Oral Session IV (IBDAP 2020)
13.00 – 13.15	Monitoring the COVID-19 Situation in Thailand	Big Data Analytics Framework for Digital Government
13.15 – 13.30	The Relations Between Implementation Date of Policies and the Spreading of COVID-19	A Framework for Collecting and Analyzing Massive Community Data
13.30 – 13.45	Demand Forecasting Using Artificial Neural Network Based on Quantitative and Qualitative Data	Research Topic Modeling: A Use Case for Data Analytics on Research Project Data
13.45 – 14.00	Panic of COVID-19 on the Volatility of U.S. Portfolios: Applied Big Data from Google Trend	Detecting Philadelphia Chromosome on Metaphase Images Using a Convolutional Neural Network
14.00 – 14.15	Student Dropout Prediction: A KMUTT Case Study	BoydCut: Bidirectional LSTM-CNN Model for Thai Sentence Segmenter
14.15 – 14.30		Detection of Hate Speech Using Global Vector and Deep Belief Network (DBN) Algorithm
14.30 – 14.45	Session Break
14.45 – 16.30	Oral Session V (BDAP 2020) (Thai Version)	Oral Session VI (BDAP 2020) (Thai Version)
14.45 – 15.00	Prioritization of Alzheimer’s Disease-Related Genes Using Network Diffusion and Network Centrality	Government Data Catalog
15.00 – 15.15	Identifying the Insect Transmission Using STH-DBSCAN Technique	Data Platform for PTTEP’s Digital Solution Foundation
15.15 – 15.30	Thai Font Generation with GlyphGAN	Optimization in Water Production Process at Mahasawat Water Treatment Plant
15.30 – 15.45	Emotional Speech Classification of Depressive Patients Using Machine Learning Technique	Uncovered Pipe Detection at Pipe Installation and Replacement Area with Artificial Intelligence
15.45 – 16.00	Fashion-Trend Analyzer Using Deep Learning Techniques	MWA. Big Data Analysis toward more Efficient Salt Water Management
16.00 – 16.15		Analysis of International Tourist Behaviours during COVID Situation using Data from Webboard
16.15 – 16.30		PDPA and Data Innovation

 

For more info: ibdap.org