The 10th International Workshop on Intelligent Data Processing

Co-located with The 2021 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT '21)

Improving data processing efficiency has attracted much attention from various research communities. Researchers in related fields are facing the challenges of data explosion, which demands enormous manpower for data processing. Artificial intelligence and intelligent systems offer efficient mechanisms that can significantly reduce the costs of processing large volume data and improve data processing quality. Practical applications have been developed in different areas including online education, virtual-reality-aid online teaching, health informatics, online data analysis, etc.

Published by ACM and Sponsored by IEEE/ACM/WIC.

This workshop aims to gather experts and scholars from related fields to present and share their recent research on intelligent data processing. The purpose of the 10th IDP is to provide a forum for discussion and interaction among researchers with interests in the cutting-edge techniques of intelligent data processing. A special attention Is given to the topics that developed in the COVID-19 period such as online education, educational data mining, social networks, and health informatics. Participants are invited to submit papers in all areas of data- and knowledge-based approaches.

Topics of Interest

  • Artificial Intelligence
  • Big Data Analysis
  • Cloud Computing
  • Cloud-based Health Informatics
  • Data Mining & Machine Learning
  • Knowledge Representation and Reasoning
  • Online Data Analysis
  • Optimisation Algorithms
  • Educational Data Mining
  • Virtual Reality for teaching
  • Online Education Model amid COVID-19
  • Online Social Media and Public Opinion
  • Online Social Behavior in Education Sector

Important Dates

  • Paper submission deadline: July 15 August 31, 2021
  • Notification of acceptance: September 1 October 1, 2021
  • Workshop day: December 14, 2021


Workshop History

IDP2012

Kunming, China
in conjunction with APWeb2012

IDP 2012 attracted 21 submissions from Japan, Korea, Hong Kong, Taiwan, China, and India with a 33.3% acceptance rate.
Each paper was carefully reviewed by two or three members of an international Program Committee (PC).
Seven papers were selected to be included in this volume.

IDP2013

NIT, Zhejiang University, Ningbo, China
in conjunction with KSS2013 and Data Science Forum

IDP 2013 attracted 15 submissions from Australia, China and Hong Kong with a 40% acceptance rate.
Each paper was carefully reviewed by two or three members of an international Program Committee (PC).
Six papers were selected to be included in this volume.

IDP2014

Chinese Academy of Sciences, Shenzhen, China
in conjunction with ICDM 2014

IDP14 attracted 19 submissions from Australia, China, Saudi Arabia, United States and Hong Kong 5 countries and regions with 26.3% acceptance rate for regular papers.

IDP2015

Hangzhou, China
in conjunction with 12th Beijing- Shanghai-Hangzhou High-tech Industrialize Cooperation Forum

Invited speakers including the Academician of Chinese Academy of Sciences.

IDP2016

Tongji University, Shanghai, China
in conjunction with 9th IEEE/ACM International Conference on Utility and Cloud Computing (UCC)

Seven papers were selected to be included in the proceedings.

IDP2017

Hong Kong, Shanghai, China
in conjunction with The 13th International Conference on Computational Intelligence and Security

Seven papers were selected to be included in the proceedings.

IDP2018

Laguna Hills, California, USA
in conjunction with First IEEE International Conference on Artificial Intelligence and Knowledge Engineering (AIKE)

Five papers were selected to be included in the proceedings.

IDP2019

Ningbo, China
in conjunction with 6th International Conference on Data Science (ICDS)

Five papers were selected to be included in the proceedings.

IDP2020

Melbourne, Australia
in conjunction with The 2020 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT'20)

Sixteen papers were selected to be included in the proceedings.

2021
December 14

Melbourne
Australia

Organizers

Haolan Zhang

NIT
Zhejiang University
China

Paolo Mengoni

Hong Kong Baptist University
Hong Kong, China

Kristen Yuanxi Li

Hong Kong Baptist University
Hong Kong, China

Junwei Wang

NIT
Zhejiang University
China

Technical Program Committee

Jiming Liu

Hong Kong Baptist University
Hong Kong, China

Takehito Utsuro

University of Tsukuba
Japan

Yiu-ming Cheung

Hong Kong Baptist University
Hong Kong, China

Jing He

Swinburne University
Australia

David Taniar

Monash University
Australia

Clement Leung

Chinese University of Hong Kong (Shenzhen)
China

Yun Xue

South China Normal University
China

Min Yao

Zhejiang University
China

Huiming Tang

Zhejiang University
China

Workshop Program

December 14, 2021

All time are Beijing time (GMT +8)

Chair: Haolan Zhang

12:00–12:20 Yuhan Gu and Zhenbiao He, Consumer research based on the consumption of IP virtual derivatives. Paper ID: S08202
12:20–12:40 Jing Bao, Playbour in the digital games:A case study of Fantasy Westward Journey. Paper ID: S08207
12:40–13:00 Chun Yin Tsui and Paolo Mengoni, A Case Study of Clustering and Visualization With Clickstream Data Using UX2Vec. Paper ID: S08203

Chair: Kristen Yuanxi Li

13:00–13:20 Mingzhen Ding, Ziyi Liu, Guohui Xu, Shudong Ding, and Hao Lan Zhang, EEG Spatial Analysis based on Brain thermogram Image Recognition. Paper ID: S08204
13:20–13:40 Yan Liu, Zhihui Zhang, Baiying Xing, Jing Yuan, Haolan Zhang, and Chunyu Feng, An enhanced ARIMA model for EEG classification. Paper ID: S08208

Chair: Paolo Mengoni

13:40–14:00 Chuting Yu, Yu Li, and Xinjie Yu, A Method for Recognizing and Counting Residual Bait of Penaeus Vannamei Based on Deep Learning. Paper ID: S08201
14:00–14:20 Jie Wang, Huaiwei Cong, Xin Wei, Baolian Qi, Jinpeng Li, and Ting Cai, X-ray Image Blind Denoising in Hybrid Noise Based on Convolutional Neural Networks. Paper ID: S08205
14:20–14:40 Xinbo Ren, Haiyuan Wu, Toshiyuki Imai, Yuxia Zhao, and Takashi Kubo, Semantic Segmentation of Atherosclerosis in Superficial Layer of IVOCT Images Using Deep Learning. Paper ID: S08206
14:40–14:45Workshop Closing Remark (Paolo Mengoni)

Event Partners and Supporting Organizations