September 25, 2020 to September 26, 2020
TBA
Organized By
GBDi team
IBDAP 2020
The International Conference on Big Data Analytics and Practices
Conference type:
Online VDO Conference via Microsoft Teams
Keynote Speaker Session
(25 September 2020 : 09.00-12.00 AM Bangkok Time)
https://bit.ly/IBDAP2020
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)
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Important Dates
| Paper submission deadline: | |
| Notification of acceptance: | |
| Camera-ready submission: | |
| Regular registration deadline: |
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) |
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| 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 |
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| 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