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Recent Advances in Soft Computing and Data Mining

Proceedings of the Fifth International Conference on Soft Computing and Data Mining (SCDM 2022), May 30-31, 2022

  • Conference proceedings
  • © 2022

Overview

Editors:
  1. Rozaida Ghazali

    1. Faculty of Computer Science and Information Technology, Universiti Tun Hussein Onn Malaysia, Batu Pahat, Malaysia

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  2. Nazri Mohd Nawi

    1. Faculty of Computer Science and Information Technology, Universiti Tun Hussein Onn Malaysia, Batu Pahat, Malaysia

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  3. Mustafa Mat Deris

    1. Faculty of Computer Science and Information Technology, Universiti Tun Hussein Onn Malaysia, Batu Pahat, Malaysia

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  4. Jemal H. Abawajy

    1. School of Information Technology Faculty of Science, Engineering and Built Environment, Deakin University, Geelong, Australia

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  5. Nureize Arbaiy

    1. Faculty of Computer Science and Information Technology, Universiti Tun Hussein Onn Malaysia, Batu Pahat, Malaysia

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  • Includes recent research on soft computing and data mining
  • Presents the outcomes of the Fifth International Conference on Soft Computing and Data Mining (SCDM-2022)
  • Written by experts in the field

Part of the book series: Lecture Notes in Networks and Systems (LNNS, volume 457)

Included in the following conference series:

Conference proceedings info: SCDM 2022.

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Table of contents (39 papers)

  1. Front Matter

    Pages i-xv
    Download chapter PDF

  2. General Track

    1. Front Matter

      Pages 1-1
      Download chapter PDF

    2. Fast Hard Clustering Based on Soft Set Multinomial Distribution Function

      • Iwan Tri Riyadi Yanto, Ririn Setiyowati, Mustafa Mat Deris, Norhalina Senan
      Pages 3-13

    3. PSS: New Parametric Based Clustering for Data Category

      • Iwan Tri Riyadi Yanto, Mustafa Mat Deris, Norhalina Senan
      Pages 14-24

    4. Arithmetic Operations of Intuitionistic Z-Numbers Using Horizontal Membership Functions

      • Nik Muhammad Farhan Hakim Nik Badrul Alam, Ku Muhammad Naim Ku Khalif, Nor Izzati Jaini
      Pages 25-34

    5. A Hybrid Method with Fuzzy VIKOR and Z-Numbers for Decision Making Problems

      • Wan Nur Amira Wan Azman, Nurnadiah Zamri, Siti Sabariah Abas
      Pages 35-45

    6. Fuzzy-Autoregressive Integrated Moving Average (F-ARIMA) Model to Improve Temperature Forecast

      • Muhammad Shukri Che Lah, Nureize Arbaiy, Yana Mazwin Mohmad Hassim, Pei-Chun Lin, Shamshul Bahar Yaakob
      Pages 46-55

    7. Friendship Prediction in Social Networks Using Developed Extreme Learning Machine with Kernel Reduction and Probabilistic Calculation

      • Muhammed E. Abd Alkhalec Tharwat, Mohd Farhan Md Fudzee, Shahreen Kasim, Azizul Azhar Ramli, Syed Hamid Hussain Madni
      Pages 56-68

    8. A Robust ELM Algorithm for Compensating the Effect of Node Fault and Weight Noise

      • Muideen Adegoke, Yuqi Xiao, Chi-Sing Leung, Kwok Wa Leung
      Pages 69-78

    9. Fuzzy Approximate Optimal Solution of the Fuzzy Transportation Problems (FTP) Under Interval Form Using Monte Carlo Approach

      • Yosza Dasril, Muhammad Sam’an
      Pages 79-89

    10. A Modified Whale Optimization Algorithm as Filter-Based Feature Selection for High Dimensional Datasets

      • Li Yu Yab, Noorhaniza Wahid, Rahayu A. Hamid
      Pages 90-100

    11. Prediction of ADHD from a Small Dataset Using an Adaptive EEG Theta/Beta Ratio and PCA Feature Extraction

      • Takumi Sase, Marini Othman
      Pages 101-110

    12. Comparative Performance of Various Imputation Methods for River Flow Data

      • Nur Aliaa Dalila A. Muhaime, Muhammad Amirul Arifin, Shuhaida Ismail, Shazlyn Milleana Shaharuddin
      Pages 111-120

    13. Application of Box-Jenkins, Artificial Neural Network and Support Vector Machine Model for Water Level Prediction

      • Intan Syazwani Noorain, Shuhaida Ismail, Aida Nabilah Sadon, Suhaila Mohd Yasin
      Pages 121-130

    14. Support Vector Machine and Recurrent Neural Network Algorithm for Rainfall Forecasting

      • Nur Syahira Jafri, Shuhaida Ismail, Aida Nabilah Sadon, Nur’aina A. Rahman, Shazlyn Milleana Shaharuddin
      Pages 131-139

    15. LDA Based Topic Modeling on Hospital Facebook Posts

      • Siti Sakira Kamaruddin, Farzana Kabir Ahmad, Mohammed Ahmed Taiye
      Pages 140-149

    16. Binary Bat Algorithm with Dynamic Bayesian Network for Feature Selection on Cancer Gene Expression Profiles

      • Farzana Kabir Ahmad, Siti Sakira Kamaruddin, Aysar Thamer Naser Tuaimah
      Pages 150-159

    17. Deep Learning GRU Model and Random Forest for Screening Out Key Attributes of Cardiovascular Disease

      • Irfan Javid, Rozaida Ghazali, Muhammad Zulqarnain, Noor Aida Husaini
      Pages 160-170

    18. Telecommunication Network Interference Analysis Using Naive Bayes Classifier Algorithm

      • Marisa Marisa, Azizul Azhar Ramli, Suhadi Suhadi, Suslistyowati Sulistyowati, Ismail Hanif Robbani
      Pages 171-183

    19. Combined Spatial and Frequency Domains in Algorithm of RGB Color Image Security for Telescope Images

      • Kung Chuang Ting, Kim Ho Yeap, Peh Chiong Teh, Koon Chun Lai, Florence Francis-Lothai
      Pages 184-193
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Other volumes

  1. Recent Advances in Soft Computing and Data Mining

Keywords

About this book

This book unfolds ways to transform data into innovative solutions perceived as new remarkable and meaningful value. It offers practical views of the concepts and techniques readers need to get the most out of their large-scale research and data mining projects. It strides them through the data-analytical thinking, circumvents the difficulty in deciphering complex data systems and obtaining commercialization value from the data. Also known as data-driven science, soft computing and data mining disciplines cover a broad spectrum, an interdisciplinary field of scientific methods and processes. The book, Recent Advances in Soft Computing and Data Mining, delivers sufficient knowledge to tackle a wide range of issues seen in complex systems. This is done by exploring a vast combination of practices and applications by incorporating these two domains. To thrive in these data-driven ecosystems, researchers, data analysts, and practitioners must choose the best design to approach theproblem with the most efficient tools and techniques. To thrive in these data-driven ecosystems, researchers, data analysts, and practitioners must understand the design choice and options of these approaches, thus to better appreciate the concepts, tools, and techniques used.



Editors and Affiliations

  • Faculty of Computer Science and Information Technology, Universiti Tun Hussein Onn Malaysia, Batu Pahat, Malaysia

    Rozaida Ghazali, Nazri Mohd Nawi, Mustafa Mat Deris, Nureize Arbaiy

  • School of Information Technology Faculty of Science, Engineering and Built Environment, Deakin University, Geelong, Australia

    Jemal H. Abawajy

Bibliographic Information

  • Book Title: Recent Advances in Soft Computing and Data Mining

  • Book Subtitle: Proceedings of the Fifth International Conference on Soft Computing and Data Mining (SCDM 2022), May 30-31, 2022

  • Editors: Rozaida Ghazali, Nazri Mohd Nawi, Mustafa Mat Deris, Jemal H. Abawajy, Nureize Arbaiy

  • Series Title: Lecture Notes in Networks and Systems

  • DOI: https://doi.org/10.1007/978-3-031-00828-3

  • 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 2022

  • Hardcover ISBN: 978-3-031-00827-6Published: 04 May 2022

  • Softcover ISBN: 978-3-031-00830-6Published: 05 May 2023

  • eBook ISBN: 978-3-031-00828-3Published: 03 May 2022

  • Series ISSN: 2367-3370

  • Series E-ISSN: 2367-3389

  • Edition Number: 1

  • Number of Pages: XV, 402

  • Number of Illustrations: 46 b/w illustrations, 115 illustrations in colour

  • Topics: Computational Intelligence, Data Engineering, Artificial Intelligence

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