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Advances and Trends in Artificial Intelligence. Artificial Intelligence Practices

34th International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2021, Kuala Lumpur, Malaysia, July 26–29, 2021, Proceedings, Part I

  • Conference proceedings
  • © 2021

Overview

Editors:
  1. Hamido Fujita

    1. i-SOMET Incorporate Association, Morioka, Japan

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  2. Ali Selamat

    1. Universiti Teknologi Malaysia, Kuala Lumpur, Malaysia

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  3. Jerry Chun-Wei Lin

    1. Western Norway University of Applied Sciences, Bergen, Norway

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  4. Moonis Ali

    1. Texas State University San Marcos, San Marcos, USA

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 12798)

Part of the book sub series: Lecture Notes in Artificial Intelligence (LNAI)

Included in the following conference series:

Conference proceedings info: IEA/AIE 2021.

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Table of contents (53 papers)

  1. Front Matter

    Pages i-xx
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  2. Knowledge Discovery and Pattern Mining

    1. Front Matter

      Pages 1-1
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    2. Fast Mining of Top-k Frequent Balanced Association Rules

      • Xiangyu Liu, Xinzheng Niu, Jieliang Kuang, Shenghan Yang, Pengpeng Liu
      Pages 3-14

    3. Towards Increasing Open Data Adoption Through Stream Data Integration and Imputation

      • Robert Kunicki, Maciej Grzenda
      Pages 15-27

    4. Towards Efficient Discovery of Periodic-Frequent Patterns in Columnar Temporal Databases

      • Ravikumar Penugonda, Likhitha Palla, Uday Kiran Rage, Yutaka Watanobe, Koji Zettsu
      Pages 28-40

    5. Data-Driven Simulation of Ride-Hailing Services Using Imitation and Reinforcement Learning

      • Haritha Jayasinghe, Tarindu Jayatilaka, Ravin Gunawardena, Uthayasanker Thayasivam
      Pages 41-52

    6. Discovering Spatial High Utility Itemsets in High-Dimensional Spatiotemporal Databases

      • Sai Chithra Bommisetty, Ravikumar Penugonda, Uday Kiran Rage, Minh Son Dao, Koji Zettsu
      Pages 53-65

    7. A Single-Stage Tree-Structure-Based Approach to Determine Fuzzy Average-Utility Itemsets

      • Tzung-Pei Hong, Meng-Ping Ku, Hsiu-Wei Chiu, Wei-Ming Huang, Shu-Min Li, Jerry Chun-Wei Lin
      Pages 66-72

    8. Mining Episode Rules from Event Sequences Under Non-overlapping Frequency

      • Oualid Ouarem, Farid Nouioua, Philippe Fournier-Viger
      Pages 73-85

    9. Distributed Mining of High Utility Time Interval Sequential Patterns with Multiple Minimum Utility Thresholds

      • Sumalatha Saleti, Jaya Lakshmi Tangirala, Ragunathan Thirumalaisamy
      Pages 86-97

  3. Artificial Intelligence and Machine Learning

    1. Front Matter

      Pages 99-99
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    2. Emergency Analysis: Multitask Learning with Deep Convolutional Neural Networks for Fire Emergency Scene Parsing

      • Jivitesh Sharma, Ole-Christoffer Granmo, Morten Goodwin
      Pages 101-112

    3. Comparison of Consolidation Methods for Predictive Learning of Time Series

      • Ryoichi Nakajo, Tetsuya Ogata
      Pages 113-120

    4. Evolutionary Optimization of Convolutional Neural Network Architecture Design for Thoracic X-Ray Image Classification

      • Hassen Louati, Slim Bechikh, Ali Louati, Abdulaziz Aldaej, Lamjed Ben Said
      Pages 121-132

    5. Understanding the Effects of Mitigation on De-identified Data

      • Andrew Chester, Yun Sing Koh, Junjae Lee
      Pages 133-144

    6. Combining Siamese Network and Correlation Filter for Complementary Object Tracking

      • Kosuke Honda, Hamido Fujita
      Pages 145-157

    7. Closed-Form Expressions for Global and Local Interpretation of Tsetlin Machines

      • Christian D. Blakely, Ole-Christoffer Granmo
      Pages 158-172

    8. Explainable Reinforcement Learning with the Tsetlin Machine

      • Saeed Rahimi Gorji, Ole-Christoffer Granmo, Marco Wiering
      Pages 173-187

  4. Sematic, Topology, and Ontology Models

    1. Front Matter

      Pages 189-189
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    2. Semantic Technologies Towards Missing Values Imputation

      • Iker Esnaola-Gonzalez, Unai Garciarena, Jesús Bermúdez
      Pages 191-196
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Other volumes

  1. Advances and Trends in Artificial Intelligence. Artificial Intelligence Practices

  2. Advances and Trends in Artificial Intelligence. From Theory to Practice

Keywords

About this book

This two-volume set of LNAI 12798 and 12799 constitutes the thoroughly refereed proceedings of the 34th International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2021, held virtually and in Kuala Lumpur, Malaysia, in July 2021.

The 87 full papers and 19 short papers presented were carefully reviewed and selected from 145 submissions. The IEA/AIE 2021 conference will continue the tradition of emphasizing on applications of applied intelligent systems to solve real-life problems in all areas. These areas include the following:

Part I, Artificial Intelligence Practices: Knowledge discovery and pattern mining; artificial intelligence and machine learning; sematic, topology, and ontology models; medical and health-related applications; graphic and social network analysis; signal and bioinformatics processing; evolutionary computation; attack security; natural language and text processing; fuzzy inference and theory; and sensor and communication networks

Part II, From Theory to Practice: Prediction and recommendation; data management, clustering and classification; robotics; knowledge based and decision support systems; multimedia applications; innovative applications of intelligent systems; CPS and industrial applications; defect, anomaly and intrusion detection; financial and supply chain applications; Bayesian networks; BigData and time series processing; and information retrieval and relation extraction

Editors and Affiliations

  • i-SOMET Incorporate Association, Morioka, Japan

    Hamido Fujita

  • Universiti Teknologi Malaysia, Kuala Lumpur, Malaysia

    Ali Selamat

  • Western Norway University of Applied Sciences, Bergen, Norway

    Jerry Chun-Wei Lin

  • Texas State University San Marcos, San Marcos, USA

    Moonis Ali

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