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  • Conference proceedings
  • © 2022

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

  • 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)

Conference series link(s): SCDM: International Conference on Soft Computing and Data Mining

  • 2557 Accesses

Conference proceedings info: SCDM 2022.

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eBook USD 229.00
Price excludes VAT (USA)
  • ISBN: 978-3-031-00828-3
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  • Readable on all devices
  • Own it forever
  • Exclusive offer for individuals only
  • Tax calculation will be finalised during checkout
Hardcover Book USD 299.99
Price excludes VAT (USA)

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Table of contents (39 papers)

  1. General Track

    1. An Improved Convolutional Neural Network for Speech Emotion Recognition

      • Sibtain Ahmed Butt, Umer Iqbal, Rozaida Ghazali, Ijaz Ali Shoukat, Ayodele Lasisi, Ahmed Khalaf Zager Al-Saedi
      Pages 194-201
    2. Bayesian Regularized Neural Network for Forecasting Naira-USD Exchange Rate

      • Oyebayo Ridwan Olaniran, Saidat Fehintola Olaniran, Jumoke Popoola
      Pages 213-222
    3. AirAwareMalaysia: Data Visualization and Air Quality Awareness on Air Pollution in Selangor Using Big Data Analytics

      • Haziq Zamri, Zatul Amilah Shaffiei, Nor Aziah Daud, Nor Diana Ahmad
      Pages 223-233
    4. IFPDSO-PS: A Hybrid Approach for Global and Local Optimization

      • Muhammad Iqbal Kamboh, Nazri Mohd Nawi, Radiah Mohamad
      Pages 234-244
    5. Assessing Cloud Computing Security Threats in Malaysian Organization Using Fuzzy Delphi Method

      • Nurbaini Zainuddin, Rasimah Che Mohd Yusuff, Ganthan Narayana Samy
      Pages 252-263
    6. Fuzzy Density-Based Clustering for Medical Diagnosis

      • Syed Muhammad Waqas, Kashif Hussain, Salama A. Mostafa, Nazri Mohd Nawi, Sumra Khan
      Pages 264-271
    7. A Generalized Assignment of Standard Minute Value Model to Minimize the Difference Between the Planned and Actual Outputs of a Garment Production Line

      • Z. A. M. S. Juman, Salama A. Mostafa, Rozaida Ghazali, K. S. M. Karunamuni, H. M. N. S. Kumari
      Pages 272-281
    8. Android Botnet Detection Based on Network Analysis Using Machine Learning Algorithm

      • Muhammad Farrid Affiq Hairul Kamal, Isredza Rahmi A. Hamid, Noryusliza Abdullah, Zubaile Abdullah, Masitah Ahmad, Wahidah Md Shah
      Pages 282-291
    9. Improving Genetic Algorithm to Attain Better Routing Solutions for Real-World Water Line System

      • Salama A. Mostafa, Z. A. M. S. Juman, Nazri Mohd Nawi, Hairulnizam Mahdin, Mazin Abed Mohammed
      Pages 292-301
    10. Customer’s Behavior in Purchase Decision of Textile Materials: Rough-Regression Model

      • Rasyidah, Riswan Efendi, Nazri Mohd. Nawi, Herdyan Maulana, Lisya Chairani
      Pages 302-310
    11. Most Profitable Currency Exchange for ASEAN Countries Using Dijkstra’s Algorithm

      • Riswan Efendi, Sri Widya Rahayu, Rohaidah Masri, Nor Azah Samsudin, Rasyidah
      Pages 311-319
    12. Modeling Public Crime Type Using Multinomial Logistic Regression and K-Nearest Neighbor: Pre-and During-Pandemic COVID-19

      • Riswan Efendi, Yaumil Isnaini, Sri Widya Rahayu, Rohaidah Masri, Noor Azah Samsudin, Rasyidah
      Pages 320-327
  2. Emerging Trends in Intelligent Systems and Data Science

    1. Front Matter

      Pages 329-329
    2. Elderly Fall Activity Detection Using Supervised Machine Learning Models

      • Muhammad Ali, Muhammad Faheem Mushtaq, Mobeen Shahroz, Rizwan Majeed, Ali Samad, Urooj Akram
      Pages 331-340
    3. The Comparative Performance Analysis of Clustering Algorithms

      • Amna, Nazri Mohd Nawi, Muhammad Aamir, Muhammad Faheem Mushtaq
      Pages 341-352
    4. FERNet: A Convolutional Neural Networks Based Robust Model to Recognize Human Facial Expressions

      • Ghulam Gilanie, Nasira Rehman, Usama Ijaz Bajwa, Sabiha Sharif, Hafeez Ullah, Muhammad Faheem Mushtaq
      Pages 353-360
    5. Early Stage Detection of Cardiac Related Diseases by Using Artificial Neural Network

      • Erum Wazir, Ghulam Gilanie, Nasira Rehman, Hafeez Ullah, Muhammad Faheem Mushtaq
      Pages 361-370
    6. The Comparative Performance of Machine Learning Models for COVID-19 Sentiment Analysis

      • Syeda Fiza Rubab, Muhammad Faheem Mushtaq, Muhammad Hussain Tahir, Amna, Ali Samad, Ghulam Gilanie et al.
      Pages 371-379

Other Volumes

  1. 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

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 the problem 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.


Keywords

  • Soft Computing and its applications
  • Data Mining and its applications
  • Intelligent Computing
  • SCDM
  • SCDM2022

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: 978-3-031-00827-6

  • eBook ISBN: 978-3-031-00828-3

  • 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

Buying options

eBook USD 229.00
Price excludes VAT (USA)
  • ISBN: 978-3-031-00828-3
  • Instant PDF download
  • Readable on all devices
  • Own it forever
  • Exclusive offer for individuals only
  • Tax calculation will be finalised during checkout
Hardcover Book USD 299.99
Price excludes VAT (USA)