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  • Conference proceedings
  • © 2020

Proceedings of the Fourteenth International Conference on Management Science and Engineering Management

Volume 1

  • Discusses recent issues and the latest research in management science and engineering management

  • Gathers the proceedings of the 14th International Conference on Management Science and Engineering Management (ICMSEM 2020), which was held in Moldova on July 30–August 2, 2020

  • Highlights the changes and challenges relating to decision-making procedures in the big data era

Conference proceedings info: ICMSEM 2020.

Buying options

eBook USD 269.00
Price excludes VAT (USA)
  • ISBN: 978-3-030-49829-0
  • Instant PDF download
  • Readable on all devices
  • Own it forever
  • Exclusive offer for individuals only
  • Tax calculation will be finalised during checkout
Softcover Book USD 349.99
Price excludes VAT (USA)

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Table of contents (62 papers)

  1. Part I: Statistical Analysis

    1. Statistical Methods for Estimating the Pipelines Reliability

      • Asaf Hajiyev, Yasin Rustamov, Narmina Abdullayeva
      Pages 274-285
    2. Gonorrhea Disease Mapping in Malaysia Using Standardized Morbidity Ratio

      • Nazrina Aziz, Nur Ain Binti Haron, Nur Atikah Binti Mohamad Azmi
      Pages 286-296
  2. Part II: Machine Learning

    1. Front Matter

      Pages 307-307
    2. Advances in Hybrid Genetic Algorithms with Learning and GPU for Scheduling Problems: Brief Survey and Case Study

      • Mitsuo Gen, John R. Cheng, Krisanarach Nitisiri, Hayato Ohwada
      Pages 322-339
    3. Parameter and Mixture Component Estimation in Spatial Hidden Markov Models: A Comparative Analysis of Computational Methods

      • Eugene A. Opoku, Syed Ejaz Ahmed, Trisalyn Nelson, Farouk S. Nathoo
      Pages 340-355
    4. Model Selection and Post-estimation via Pretesting: Ridge Regression

      • Pannipa Rintara, Supranee Lisawadi, Syed Ejaz Ahmed
      Pages 384-395
    5. The Herd Effect on Chinese Firms’ OFDI - A Data Mining Approach

      • Jie Jiang, Cangyu Wang, Junshan Liu, Lei Zhang
      Pages 407-422
    6. Analysis of Variant Data Mining Methods for Depiction of Fraud

      • Qurat Ul Ain, Muhammad Azam Zia, Naeem Asghar, Asim Saleem
      Pages 423-432
    7. Imputation Method Based on Sliding Window for Right-Censored Data

      • Syed Ejaz Ahmed, Dursun Aydın, Ersin Yılmaz
      Pages 433-446
    8. The Behaviour of Solutions to Degenerate Double Nonlinear Parabolic Equations

      • Tahir Gadjiev, Yasin Rustamov, Aybeniz Yangaliyeva
      Pages 447-459
    9. Fault Detection and Identification for Maintenance Management

      • Isaac Segovia Ramirez, Fausto Pedro Garcia Marquez
      Pages 460-469
    10. Supervisory Control and Data Acquisition Analysis for Wind Turbine Maintenance Management

      • Isaac Segovia Ramirez, Fausto Pedro Garcia Marquez
      Pages 470-480
    11. Assessing the Relative Performance of Penalty and Non-penalty Estimators in a Partially Linear Model

      • Siwaporn Phukongtong, Supranee Lisawadi, Syed Ejaz Ahmed
      Pages 481-491
    12. Improving the Performance of Least Squares Estimator in a Nonlinear Regression Model

      • Janjira Piladaeng, Supranee Lisawadi, Syed Ejaz Ahmed
      Pages 492-502

Other Volumes

  1. Proceedings of the Fourteenth International Conference on Management Science and Engineering Management

    Volume 1

About this book

This book gathers the proceedings of the 14th International Conference on Management Science and Engineering Management (ICMSEM 2020). Held at the Academy of Studies of Moldova from July 30 to August 2, 2020, the conference provided a platform for researchers and practitioners in the field to share their ideas and experiences.

Covering a wide range of topics, including hot management issues in engineering science, the book presents novel ideas and the latest research advances in the area of management science and engineering management. It includes both theoretical and practical studies of management science applied in computing methodology, highlighting advanced management concepts, and computing technologies for decision-making problems involving large, uncertain and unstructured data. The book also describes the changes and challenges relating to decision-making procedures at the dawn of the big data era, and discusses new technologies for analysis, capture, search, sharing, storage, transfer and visualization, and in the context of privacy violations, as well as advances in the integration of optimization, statistics and data mining. Given its scope, it will appeal to a wide readership, particularly those looking for new ideas and research directions. 

Keywords

  • Decision Support System
  • Computing Methodology
  • Information Technology
  • Data Analysis and Mining
  • Operational Management
  • Project Management
  • Green Supply Chain Decision
  • Industry Strategy Management
  • ICMSEM
  • ICMSEM2020

Editors and Affiliations

  • Business School, Sichuan University, Chengdu, China

    Jiuping Xu

  • Academy of Sciences of Moldova, Chisinau, Moldova

    Gheorghe Duca

  • Faculty of Math and Science, Brock University, Hamilton, Canada

    Syed Ejaz Ahmed

  • ETSI Industriales de Ciudad Real, University of Castile-La Mancha (UCLM), Ciudad Real, Spain

    Fausto Pedro García Márquez

  • Institute of Control Systems, Azerbaijan Natl Academy of Sciences, Baku, Azerbaijan

    Asaf Hajiyev

Bibliographic Information

  • Book Title: Proceedings of the Fourteenth International Conference on Management Science and Engineering Management

  • Book Subtitle: Volume 1

  • Editors: Jiuping Xu, Gheorghe Duca, Syed Ejaz Ahmed, Fausto Pedro García Márquez, Asaf Hajiyev

  • Series Title: Advances in Intelligent Systems and Computing

  • DOI: https://doi.org/10.1007/978-3-030-49829-0

  • Publisher: Springer Cham

  • eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)

  • Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2020

  • Softcover ISBN: 978-3-030-49828-3

  • eBook ISBN: 978-3-030-49829-0

  • Series ISSN: 2194-5357

  • Series E-ISSN: 2194-5365

  • Edition Number: 1

  • Number of Pages: XVI, 845

  • Number of Illustrations: 73 b/w illustrations, 127 illustrations in colour

  • Topics: Computational Intelligence, Data Analysis and Big Data

Buying options

eBook USD 269.00
Price excludes VAT (USA)
  • ISBN: 978-3-030-49829-0
  • Instant PDF download
  • Readable on all devices
  • Own it forever
  • Exclusive offer for individuals only
  • Tax calculation will be finalised during checkout
Softcover Book USD 349.99
Price excludes VAT (USA)