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Recent Advances on Soft Computing and Data Mining

Proceedings of the Fourth International Conference on Soft Computing and Data Mining (SCDM 2020), Melaka, Malaysia, January 22–⁠23, 2020

  • Conference proceedings
  • © 2020

Overview

Editors:
  1. Rozaida Ghazali

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

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  2. Nazri Mohd Nawi

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

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  3. Mustafa Mat Deris

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

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  4. Jemal H. Abawajy

    1. School of Information Technology, Deakin University, Geelong Waurn Ponds Campus, Australia

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  • Includes recent research on soft computing and data mining
  • Presents the outcomes of the International Conference on Soft Computing and Data Mining (SCDM-2020), held in Langkawi, Malaysia, on January 22–23, 2020
  • Written by experts in the field

Part of the book series: Advances in Intelligent Systems and Computing (AISC, volume 978)

Included in the following conference series:

Conference proceedings info: SCDM 2022.

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Table of contents (44 papers)

  1. Front Matter

    Pages i-xvii
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  2. General Track

    1. Front Matter

      Pages 1-1
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    2. An Enhanced Model for Digital Reference Services

      • Asim Shahzad, Nazri Mohd Nawi, Hairulnizam Mahdin, Sundas Naqeeb Khan, Norhamreeza Abdul Hamid
      Pages 3-14

    3. Fuzzy Random Based Mean Variance Model for Agricultural Production Planning

      • Mohammad Haris Haikal Othman, Nureize Arbaiy, Muhammad Shukri Che Lah, Pei-Chun Lin
      Pages 15-24

    4. Residual Neural Network Vs Local Binary Convolutional Neural Networks for Bilingual Handwritten Digit Recognition

      • Ebrahim Al-wajih, Rozaida Ghazali, Yana Mazwin Mohmad Hassim
      Pages 25-34

    5. Incorporating the Markov Chain Model in WBSN for Improving Patients’ Remote Monitoring Systems

      • Rabei Raad Ali, Salama A. Mostafa, Hairulnizam Mahdin, Aida Mustapha, Saraswathy Shamini Gunasekaran
      Pages 35-46

    6. Designing Deep Neural Network with Chicken Swarm Optimization for Violence Video Classification Using VSD2014 Dataset

      • Ashikin Ali, Norhalina Senan, Iwan Tri Riyadi Yanto
      Pages 47-56

    7. Header Based Email Spam Detection Framework Using Support Vector Machine (SVM) Technique

      • Siti Aqilah Khamis, Cik Feresa Mohd Foozy, Mohd Firdaus Ab Aziz, Nordiana Rahim
      Pages 57-65

    8. A Mechanism to Support Agile Frameworks Enhancing Reliability Assessment for SCS Development: A Case Study of Medical Surgery Departments

      • Abdulaziz Ahmed Thawaba, Azizul Azhar Ramli, Mohd. Farhan Md. Fudzee, Junzo Wadata
      Pages 66-76

    9. Link Bandwidth Recommendation for Indonesian E-Health Grid

      • Sri Chusri Haryanti, Ummi Azizah Rachmawati, Elan Suherlan, Nabylla Azahra, Sarah Syahwenni Utari, Heru Suhartanto
      Pages 77-87

    10. Investigating the Optimal Parameterization of Deep Neural Network and Synthetic Data Workflow for Imbalance Liver Disorder Dataset Classification

      • Nova Eka Diana, Andi Batari Ahmad, Zwasta Pribadi Mahardika
      Pages 88-97

    11. Genetic Algorithm Based Parallel K-Means Data Clustering Algorithm Using MapReduce Programming Paradigm on Hadoop Environment (GAPKCA)

      • Sayer Alshammari, Maslina Binti Zolkepli, Rusli Bin Abdullah
      Pages 98-108

    12. Android Botnet Detection by Classification Techniques

      • Athirah Zaffira Binti Majit, Palaniappan Shamala, Cik Feresa Mohd Foozy, Chuah Chai Wen, Muruga Chinniah
      Pages 109-120

    13. Android Ransomware Detection Based on Dynamic Obtained Features

      • Zubaile Abdullah, Farah Waheeda Muhadi, Madihah Mohd Saudi, Isredza Rahmi A. Hamid, Cik Feresa Mohd Foozy
      Pages 121-129

    14. Training Functional Link Neural Network with Ant Lion Optimizer

      • Yana Mazwin Mohmad Hassim, Rozaida Ghazali
      Pages 130-139

    15. Classification of Metamorphic Virus Using N-Grams Signatures

      • Isredza Rahmi A. Hamid, Nur Sakinah Md. Sani, Zubaile Abdullah, Cik Feresa Mohd Foozy, Kuryati Kipli
      Pages 140-149

  3. Computational Intelligence and its Applied Applications

    1. Front Matter

      Pages 151-151
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    2. Experimental Analysis of Tuberculosis Classification Based on Clinical Data Using Machine Learning Techniques

      • Hery Yugaswara, Muhamad Fathurahman, Suhaeri
      Pages 153-160

    3. Impact of Hyperparameter Tuning on Deep Learning Based Estimation of Disease Severity in Grape Plant

      • Shradha Verma, Anuradha Chug, Amit Prakash Singh
      Pages 161-171

    4. Multi-modal Feature Based for Phonocardiogram Signal Classification Using Autoencoder

      • Muhamad Fathurahman, Ummi Azizah Rachmawati, Sri Chusri Haryanti
      Pages 172-180
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Other volumes

  1. Recent Advances on Soft Computing and Data Mining

Keywords

About this book

This book provides an introduction to data science and offers a practical overview of the concepts and techniques that readers need to get the most out of their large-scale data mining projects and research studies. It discusses data-analytical thinking, which is essential to extract useful knowledge and obtain commercial value from the data. Also known as data-driven science, soft computing and data mining disciplines cover a broad interdisciplinary range of scientific methods and processes. The book provides readers with sufficient knowledge to tackle a wide range of issues in complex systems, bringing together the scopes that integrate soft computing and data mining in various combinations of applications and practices, since to thrive in these data-driven ecosystems, researchers, data analysts and practitioners must understand the design choice and options of these approaches. This book helps readers to solve complex benchmark problems and 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, Johor, Malaysia

    Rozaida Ghazali, Nazri Mohd Nawi, Mustafa Mat Deris

  • School of Information Technology, Deakin University, Geelong Waurn Ponds Campus, Australia

    Jemal H. Abawajy

Bibliographic Information

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

  • Book Subtitle: Proceedings of the Fourth International Conference on Soft Computing and Data Mining (SCDM 2020), Melaka, Malaysia, January 22–⁠23, 2020

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

  • Series Title: Advances in Intelligent Systems and Computing

  • DOI: https://doi.org/10.1007/978-3-030-36056-6

  • Publisher: Springer Cham

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

  • Copyright Information: Springer Nature Switzerland AG 2020

  • Softcover ISBN: 978-3-030-36055-9Published: 05 December 2019

  • eBook ISBN: 978-3-030-36056-6Published: 04 December 2019

  • Series ISSN: 2194-5357

  • Series E-ISSN: 2194-5365

  • Edition Number: 1

  • Number of Pages: XVII, 481

  • Number of Illustrations: 54 b/w illustrations, 156 illustrations in colour

  • Topics: Computational Intelligence, Data Engineering, Artificial Intelligence

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