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Soft Computing in Data Science

5th International Conference, SCDS 2019, Iizuka, Japan, August 28–29, 2019, Proceedings

  • Conference proceedings
  • © 2019

Overview

Editors:
  1. Michael W. Berry

    1. University of Tennessee, Knoxville, USA

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  2. Bee Wah Yap

    1. Universiti Teknologi MARA, Shah Alam, Malaysia

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  3. Azlinah Mohamed

    1. Universiti Teknologi MARA, Shah Alam, Malaysia

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  4. Mario Köppen

    1. Kyushu Institute of Technology, Fukuoka, Japan

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Part of the book series: Communications in Computer and Information Science (CCIS, volume 1100)

Included in the following conference series:

Conference proceedings info: SCDS 2019.

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Table of contents (30 papers)

  1. Front Matter

    Pages i-xvi
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  2. Information and Customer Analytics

    1. Front Matter

      Pages 1-1
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    2. Entropy Analysis of Questionable Text Sources by Example of the Voynich Manuscript

      • Natsuki Kouyama, Mario Köppen
      Pages 3-13

    3. Decision Tree: Customer Churn Analysis for a Loyalty Program Using Data Mining Algorithm

      • Angela Siew Hoong Lee, Ng Claudia, Zuraini Zainol, Khin-Whai Chan
      Pages 14-27

    4. Improving e-Commerce Severity Rating Measurement Using Consistent Fuzzy Preference Relation

      • Tenia Wahyuningrum, Azhari Azhari, Suprapto
      Pages 28-39

    5. A Case Study of Customers’ Payment Behaviour Analytics on Paying Electricity with RFM Analysis and K-Means

      • Fakhrul Hazman Bin Yusoff, Nur Liyana Asyiqin Binti Rosman
      Pages 40-55

  3. Visual Data Science

    1. Front Matter

      Pages 57-57
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    2. Amniotic Fluid Segmentation by Pixel Classification in B-Mode Ultrasound Image for Computer Assisted Diagnosis

      • Desiana Wulaning Ayu, Sri Hartati, Aina Musdholifah
      Pages 59-70

    3. Machine Learning Assisted Medical Diagnosis for Segmentation of Follicle in Ovary Ultrasound

      • Eliyani, Sri Hartati, Aina Musdholifah
      Pages 71-80

    4. Malaysian Budget Visualization Using Circle Packing

      • Nur Atiqah Sia Abdullah, Nursyahira Zulkeply, Zainura Idrus
      Pages 81-90

    5. An Overview of Visualization Techniques: A Survey of Food-Related Research

      • Nurfarah Mazarina Mazalan, Zainura Idrus, Nur Atiqah Sia Abdullah, Zaidah Ibrahim
      Pages 91-104

  4. Machine and Deep Learning

    1. Front Matter

      Pages 105-105
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    2. A Hybrid TSR and LSTM for Forecasting NO2 and SO2 in Surabaya

      • Suhartono, Hendri Prabowo, Soo-Fen Fam
      Pages 107-120

    3. Evaluation of Pooling Layers in Convolutional Neural Network for Script Recognition

      • Zaidah Ibrahim, Dino Isa, Zainura Idrus, Zolidah Kasiran, Rosniza Roslan
      Pages 121-129

    4. Predictive Model of Graduate-On-Time Using Machine Learning Algorithms

      • Nurafifah Mohammad Suhaimi, Shuzlina Abdul-Rahman, Sofianita Mutalib, Nurzeatul Hamimah Abdul Hamid, Ariff Md Ab Malik
      Pages 130-141

    5. New Hybrid Statistical Method and Machine Learning for PM10 Prediction

      • Suhartono, Hendri Prabowo, Dedy Dwi Prastyo, Muhammad Hisyam Lee
      Pages 142-155

  5. Big Data Analytics

    1. Front Matter

      Pages 157-157
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    2. B-Spline in the Cox Regression with Application to Cervical Cancer

      • Jerry Dwi Trijoyo Purnomo, Santi Wulan Purnami, Sri Mulyani
      Pages 159-168

    3. Multilevel Logistic Regression and Neural Network-Genetic Algorithm for Modeling Internet Access

      • Wahyu Wibowo, Shuzlina Abdul-Rahman, Nita Cahyani
      Pages 169-180

    4. A Case Study on Student Attrition Prediction in Higher Education Using Data Mining Techniques

      • Syaidatus Syahira Ahmad Tarmizi, Sofianita Mutalib, Nurzeatul Hamimah Abdul Hamid, Shuzlina Abdul-Rahman, Ariff Md Ab Malik
      Pages 181-192
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Keywords

About this book

This book constitutes the refereed proceedings of the 5th International Conference on Soft Computing in Data Science, SCDS 2019, held in  Iizuka, Japan, in August 2019. 

The 30 revised full papers presented were carefully reviewed and selected from 75 submissions. The papers are organized in topical sections on ​information and customer analytics; visual data science; machine and deep learning; big data analytics; computational and artificial intelligence; social network and media analytics.

Editors and Affiliations

  • University of Tennessee, Knoxville, USA

    Michael W. Berry

  • Universiti Teknologi MARA, Shah Alam, Malaysia

    Bee Wah Yap, Azlinah Mohamed

  • Kyushu Institute of Technology, Fukuoka, Japan

    Mario Köppen

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