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Intelligent Computing

Proceedings of the 2021 Computing Conference, Volume 2

  • Conference proceedings
  • © 2021

Overview

Editors:
  1. Kohei Arai

    1. Faculty of Science and Engineering, Saga University, Saga, Japan

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  • Presents state-of-the-art chapters on all aspects of Intelligent Computing
  • Covers both the theory and applications for latest technologies and methodologies
  • Collects proceedings of the Computing Conference 2021 held virtually on July 15-16, 2021

Part of the book series: Lecture Notes in Networks and Systems (LNNS, volume 284)

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Table of contents (86 papers)

  1. Front Matter

    Pages i-xiv
    Download chapter PDF

  2. Balanced Weighted Label Propagation

    • Matin Pirouz
    Pages 1-12

  3. Analysis of the Vegetation Index Dynamics on the Base of Fuzzy Time Series Model

    • Elchin Aliyev, Ramin Rzayev, Fuad Salmanov
    Pages 13-22

  4. Application of Data–Driven Fault Diagnosis Design Techniques to a Wind Turbine Test–Rig

    • Silvio Simani, Saverio Farsoni, Paolo Castaldi
    Pages 23-38

  5. Mathematical Model to Support Decision-Making to Ensure the Efficiency and Stability of Economic Development of the Republic of Kazakhstan

    • Askar Boranbayev, Seilkhan Boranbayev, Malik Baimukhamedov, Askar Nurbekov
    Pages 39-48

  6. Automated Data Processing of Bank Statements for Cash Balance Forecasting

    • Vlad-Marius Griguta, Luciano Gerber, Helen Slater-Petty, Keeley Crocket, John Fry
    Pages 49-64

  7. Top of the Pops: A Novel Whitelist Generation Scheme for Data Exfiltration Detection

    • Michael Cheng Yi Cho, Yuan-Hsiang Su, Hsiu-Chuan Huang, Yu-Lung Tsai
    Pages 65-79

  8. Analyzing Co-occurrence Networks of Emojis on Twitter

    • Hasan Alsaif, Phil Roesch, Salem Othman
    Pages 80-96

  9. Development of an Oceanographic Databank Based on Ontological Interactive Documents

    • Oleksandr Stryzhak, Vitalii Prykhodniuk, Maryna Popova, Maksym Nadutenko, Svitlana Haiko, Roman Chepkov
    Pages 97-114

  10. Analyzing Societal Bias of California Police Stops Through Lens of Data Science

    • Sukanya Manna, Sara Bunyard
    Pages 115-128

  11. Automated Metadata Harmonization Using Entity Resolution and Contextual Embedding

    • Kunal Sawarkar, Meenakshi Kodati
    Pages 129-138

  12. Data Segmentation via t-SNE, DBSCAN, and Random Forest

    • Timothy DeLise
    Pages 139-151

  13. GeoTree: A Data Structure for Constant Time Geospatial Search Enabling a Real-Time Property Index

    • Robert Miller, Phil Maguire
    Pages 152-165

  14. Prediction Interval of Future Waiting Times of the Two-Parameter Exponential Distribution Under Multiply Type II Censoring

    • Shu-Fei Wu
    Pages 166-173

  15. Predictive Models as Early Warning Systems: A Bayesian Classification Model to Identify At-Risk Students of Programming

    • Ashok Kumar Veerasamy, Mikko-Jussi Laakso, Daryl D’Souza, Tapio Salakoski
    Pages 174-195

  16. Youden’s J and the Bi Error Method

    • MaryLena Bleile
    Pages 196-209

  17. A New Proposal of Parametric Similarity Measures with Application in Decision Making

    • Luca Anzilli, Silvio Giove
    Pages 210-220

  18. The Challenges of Using Big Data in the Consumer Credit Sector

    • Kirill Romanyuk
    Pages 221-231

  19. New Engine to Promote Big Data Industry Upgrade

    • Jing He, Chuyi Wang, Haonan Chen
    Pages 232-248

  20. Using Correlation and Network Analysis for Researching Intellectual Competence

    • Sipovskaya Yana Ivanovna
    Pages 249-260
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Keywords

About this book

This book is a comprehensive collection of chapters focusing on the core areas of computing and their further applications in the real world.

Each chapter is a paper presented at the Computing Conference 2021 held on 15-16 July 2021. Computing 2021 attracted a total of 638 submissions which underwent a double-blind peer review process. Of those 638 submissions, 235 submissions have been selected to be included in this book.

The goal of this conference is to give a platform to researchers with fundamental contributions and to be a premier venue for academic and industry practitioners to share new ideas and development experiences.

We hope that readers find this volume interesting and valuable as it provides the state-of-the-art intelligent methods and techniques for solving real-world problems. We also expect that the conference and its publications is a trigger for further related research and technology improvements in this important subject.  

 



Editors and Affiliations

  • Faculty of Science and Engineering, Saga University, Saga, Japan

    Kohei Arai

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