Soft Computing in Data Science: 6th International Conference, SCDS 2021, Virtual Event, November 2–3, 2021, Proceedings | SpringerLink
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Soft Computing in Data Science

6th International Conference, SCDS 2021, Virtual Event, November 2–3, 2021, Proceedings

  • Conference proceedings
  • © 2021

Overview

Editors:
  1. Azlinah Mohamed

    1. Universiti Teknologi MARA, Shah Alam, Malaysia

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  2. Bee Wah Yap

    1. Universiti Teknologi MARA, Shah Alam, Malaysia

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  3. Jasni Mohamad Zain

    1. Universiti Teknologi MARA, Shah Alam, Malaysia

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    You can also search for this editor in PubMed   Google Scholar

  4. Michael W. Berry

    1. University of Tennessee, Knoxville, USA

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Part of the book series: Communications in Computer and Information Science (CCIS, volume 1489)

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Conference proceedings info: SCDS 2021.

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About this book

This book constitutes the refereed proceedings of the 6th International Conference on Soft Computing in Data Science, SCDS 2021, which was held virtually in November 2021. The 31 revised full papers presented were carefully reviewed and selected from 79 submissions. The papers are organized in topical sections on ​​AI techniques and applications; data analytics and technologies; data mining and image processing; machine & statistical learning. 

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Table of contents (31 papers)

  1. Front Matter

    Pages i-xviii
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  2. AI Techniques and Applications

    1. Front Matter

      Pages 1-1
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    2. Comparison Performance of Long Short-Term Memory and Convolution Neural Network Variants on Online Learning Tweet Sentiment Analysis

      • Muhammad Syamil Ali, Marina Yusoff
      Pages 3-17

    3. Performance Analysis of Hybrid Architectures of Deep Learning for Indonesian Sentiment Analysis

      • Theresia Gowandi, Hendri Murfi, Siti Nurrohmah
      Pages 18-27

    4. Machine Learning Based Biosignals Mental Stress Detection

      • Adel Ali Al-Jumaily, Nafisa Matin, Azadeh Noori Hoshyar
      Pages 28-41

    5. Sentences Prediction Based on Automatic Lip-Reading Detection with Deep Learning Convolutional Neural Networks Using Video-Based Features

      • Khalid Mahboob, Hafsa Nizami, Fayyaz Ali, Farrukh Alvi
      Pages 42-53

    6. Unsupervised Learning Approach for Evaluating the Impact of COVID-19 on Economic Growth in Indonesia

      • Marieta Monica, Nadiah Ulfa Ayuningtiyas, Harun Al Azies, Muhammad Riefky, Hidayatul Khusna, Santi Puteri Rahayu
      Pages 54-70

    7. Rainfall Prediction in Flood Prone Area Using Deep Learning Approach

      • Siti Zuhairah Ramlan, Sayang Mohd Deni
      Pages 71-88

    8. Auto-DL: A Platform to Generate Deep Learning Models

      • Aditya Srivastava, Tanvi Shinde, Raj Joshi, Sameer Ahmed Ansari, Nupur Giri
      Pages 89-103

    9. A Smart Predictive Maintenance Scheme for Classifying Diagnostic and Prognostic Statuses

      • Revi Asprila Palembiya, Muhammad Nanda Setiawan, Elnora Oktaviyani Gultom, Adila Sekarratri Dwi Prayitno, Nani Kurniati, Mohammad Iqbal
      Pages 104-117

  3. Data Analytics and Technologies

    1. Front Matter

      Pages 119-119
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    2. Optimal Portfolio Construction of Islamic Financing Instrument in Malaysia

      • Muhammad Firdaus Hussin, Siti Aida Sheikh Hussin, Zalina Zahid
      Pages 121-132

    3. Analytics-Based on Classification and Clustering Methods for Local Community Empowerment in Indonesia

      • Dyah Yuniati, Kristina Pestaria Sinaga
      Pages 133-145

    4. Two-Step Estimation for Modeling the Earthquake Occurrences in Sumatra by Neyman–Scott Cox Point Processes

      • Achmad Choiruddin, Tabita Yuni Susanto, Rahma Metrikasari
      Pages 146-159

    5. Construction of Optimal Stock Market Portfolios Using Outlier Detection Algorithm

      • Gee-Kok Tong, Keng-Hoong Ng, Wun-She Yap, Kok-Chin Khor
      Pages 160-173

    6. Simulating the Upcoming Trend of Malaysia’s Unemployment Rate Using Multiple Linear Regression

      • Nur Sarah Yasmin Mohamad Adib, Ahmad Asyraf Mohd Ibrahim, Muhammad Hazrani Abdul Halim
      Pages 174-182

    7. Time Series Forecasting Using a Hybrid Prophet and Long Short-Term Memory Model

      • Yih Hern Kong, Khai Yin Lim, Wan Yoke Chin
      Pages 183-196

    8. Financial Analytics on Malaysia’s Equity Fund Performance and Its Timing Liquidity

      • Siti Farizah Saad, Siti Meriam Zahari, Muhammad Azri Mohd
      Pages 197-212

    9. An Autoregressive Distributed Lag (ARDL) Analysis of the Relationships Between Employees Provident Fund’s Wealth and Its Determinants

      • Haidah Syafi Parly, Siti Meriam Zahari, Muhammad Asmu’i Abdul Rahim, S. Sarifah Radiah Shariff
      Pages 213-227

  4. Data Mining and Image Processing

    1. Front Matter

      Pages 229-229
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Other volumes

  1. Soft Computing in Data Science

Editors and Affiliations

  • Universiti Teknologi MARA, Shah Alam, Malaysia

    Azlinah Mohamed, Bee Wah Yap, Jasni Mohamad Zain

  • University of Tennessee, Knoxville, USA

    Michael W. Berry

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