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Soft Computing in Data Science

4th International Conference, SCDS 2018, Bangkok, Thailand, August 15-16, 2018, Proceedings

  • Conference proceedings
  • © 2019

Overview

Editors:
  1. Bee Wah Yap

    1. Faculty of Computer and Mathematical Sciences, Universiti Teknologi MARA, Shah Alam, Malaysia

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  2. Azlinah Hj Mohamed

    1. Faculty of Computer and Mathematical Sciences, Universiti Teknologi MARA, Shah Alam, Malaysia

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    You can also search for this editor in PubMed   Google Scholar

  3. Michael W. Berry

    1. Department of Electrical Engineering and Computer Science, University of Tennessee at Knoxville, Knoxville, USA

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    You can also search for this editor in PubMed   Google Scholar

Part of the book series: Communications in Computer and Information Science (CCIS, volume 937)

Included in the following conference series:

Conference proceedings info: SCDS 2018.

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About this book

This book constitutes the refereed proceedings of the 4th International Conference on Soft Computing in Data Science, SCDS 2018, held in Bangkok, Thailand, in August 2018.

The 30 revised full papers presented were carefully reviewed and selected from 75 submissions. The papers are organized in topical sections on machine and deep learning, image processing, financial and fuzzy mathematics, optimization algorithms, data and text analytics, data visualization.

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Keywords

Table of contents (30 papers)

  1. Front Matter

    Pages I-XVIII
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  2. Machine and Deep Learning

    1. Front Matter

      Pages 1-1
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    2. A Hybrid Singular Spectrum Analysis and Neural Networks for Forecasting Inflow and Outflow Currency of Bank Indonesia

      • Suhartono, Endah Setyowati, Novi Ajeng Salehah, Muhammad Hisyam Lee, Santi Puteri Rahayu, Brodjol Sutijo Suprih Ulama
      Pages 3-18

    3. Scalable Single-Source Shortest Path Algorithms on Distributed Memory Systems

      • Thap Panitanarak
      Pages 19-33

    4. Simulation Study of Feature Selection on Survival Least Square Support Vector Machines with Application to Health Data

      • Dedy Dwi Prastyo, Halwa Annisa Khoiri, Santi Wulan Purnami, Suhartono, Soo-Fen Fam
      Pages 34-45

    5. VAR and GSTAR-Based Feature Selection in Support Vector Regression for Multivariate Spatio-Temporal Forecasting

      • Dedy Dwi Prastyo, Feby Sandi Nabila, Suhartono, Muhammad Hisyam Lee, Novri Suhermi, Soo-Fen Fam
      Pages 46-57

    6. Feature and Architecture Selection on Deep Feedforward Network for Roll Motion Time Series Prediction

      • Novri Suhermi, Suhartono, Santi Puteri Rahayu, Fadilla Indrayuni Prastyasari, Baharuddin Ali, Muhammad Idrus Fachruddin
      Pages 58-71

    7. Acoustic Surveillance Intrusion Detection with Linear Predictive Coding and Random Forest

      • Marina Yusoff, Amirul Sadikin Md. Afendi
      Pages 72-84

    8. Timing-of-Delivery Prediction Model to Visualize Delivery Trends for Pos Laju Malaysia by Machine Learning Techniques

      • Jo Wei Quah, Chin Hai Ang, Regupathi Divakar, Rosnah Idrus, Nasuha Lee Abdullah, XinYing Chew
      Pages 85-95

  3. Image Processing

    1. Front Matter

      Pages 97-97
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    2. Cervical Nuclei Segmentation in Whole Slide Histopathology Images Using Convolution Neural Network

      • Qiuju Yang, Kaijie Wu, Hao Cheng, Chaochen Gu, Yuan Liu, Shawn Patrick Casey et al.
      Pages 99-109

    3. Performance of SVM and ANFIS for Classification of Malaria Parasite and Its Life-Cycle-Stages in Blood Smear

      • Sri Hartati, Agus Harjoko, Rika Rosnelly, Ika Chandradewi, Faizah
      Pages 110-121

    4. Digital Image Quality Evaluation for Spatial Domain Text Steganography

      • Jasni Mohamad Zain, Nur Imana Balqis Ramli
      Pages 122-133

    5. Exploratory Analysis of MNIST Handwritten Digit for Machine Learning Modelling

      • Mohd Razif Shamsuddin, Shuzlina Abdul-Rahman, Azlinah Mohamed
      Pages 134-145

  4. Financial and Fuzzy Mathematics

    1. Front Matter

      Pages 147-147
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    2. Improved Conditional Value-at-Risk (CVaR) Based Method for Diversified Bond Portfolio Optimization

      • Nor Idayu Mat Rifin, Nuru’l-‘Izzah Othman, Shahirulliza Shamsul Ambia, Rashidah Ismail
      Pages 149-160

    3. Ranking by Fuzzy Weak Autocatalytic Set

      • Siti Salwana Mamat, Tahir Ahmad, Siti Rahmah Awang, Muhammad Zilullah Mukaram
      Pages 161-172

    4. Fortified Offspring Fuzzy Neural Networks Algorithm

      • Kefaya Qaddoum
      Pages 173-185

    5. Forecasting Value at Risk of Foreign Exchange Rate by Integrating Geometric Brownian Motion

      • Siti Noorfaera Karim, Maheran Mohd Jaffar
      Pages 186-198

  5. Optimization Algorithms

    1. Front Matter

      Pages 199-199
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Other volumes

  1. Soft Computing in Data Science

Editors and Affiliations

  • Faculty of Computer and Mathematical Sciences, Universiti Teknologi MARA, Shah Alam, Malaysia

    Bee Wah Yap, Azlinah Hj Mohamed

  • Department of Electrical Engineering and Computer Science, University of Tennessee at Knoxville, Knoxville, USA

    Michael W. Berry

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