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Data Science: From Research to Application

  • Conference proceedings
  • © 2020

Overview

Editors:
  1. Mahdi Bohlouli

    1. Institute for Advanced Studies in Basic Science, Zanjan, Iran

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  2. Bahram Sadeghi Bigham

    1. Institute for Advanced Studies in Basic Science, Zanjan, Iran

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  3. Zahra Narimani

    1. Institute for Advanced Studies in Basic Science, Zanjan, Iran

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  4. Mahdi Vasighi

    1. Institute for Advanced Studies in Basic Science, Zanjan, Iran

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  5. Ebrahim Ansari

    1. Institute for Advanced Studies in Basic Science, Zanjan, Iran

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  • Presents the results of the 7th International Conference on Contemporary Issues in Data Science (CiDaS2019) held from March 6 to 8, 2019 in Zanjan, Iran
  • Recent research on the rapidly growing field of Data Science
  • Incorporates a wide variety of areas from statistics, mathematics and machine learning to applied big data analytics

Part of the book series: Lecture Notes on Data Engineering and Communications Technologies (LNDECT, volume 45)

Included in the following conference series:

Conference proceedings info: CiDaS 2019.

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Table of contents (26 papers)

  1. Front Matter

    Pages i-xi
    Download chapter PDF

  2. Efficient Cluster Head Selection Using the Non-linear Programming Method for Wireless Sensor Networks

    • Maryam Afshoon, Amin Keshavazi, Tajedin Darikvand, Mahdi Bohlouli
    Pages 1-12

  3. A Survey on Measurement Metrics for Shape Matching Based on Similarity, Scaling and Spatial Distance

    • Bahram Sadeghi Bigham, Samaneh Mazaheri
    Pages 13-23

  4. Static Signature-Based Malware Detection Using Opcode and Binary Information

    • Azadeh Jalilian, Zahra Narimani, Ebrahim Ansari
    Pages 24-35

  5. RSS_RAID a Novel Replicated Storage Schema for RAID System

    • Saeid Pashazadeh, Leila Namvari Tazehkand, Reza Soltani
    Pages 36-43

  6. A New Distributed Ensemble Method with Applications to Machine Learning

    • Saeed Taghizadeh, Mahmood Shabankhah, Ali Moeini, Ali Kamandi
    Pages 44-58

  7. A Glance on Performance of Fitness Functions Toward Evolutionary Algorithms in Mutation Testing

    • Reza Ebrahimi Atani, Hasan Farzaneh, Sina Bakhshayeshi
    Pages 59-75

  8. Density Clustering Based Data Association Approach for Tracking Multiple Targets in Cluttered Environment

    • Mousa Nazari, Saeid Pashazadeh
    Pages 76-88

  9. Representation Learning Techniques: An Overview

    • Hassan Khastavaneh, Hossein Ebrahimpour-Komleh
    Pages 89-104

  10. A Community Detection Method Based on the Subspace Similarity of Nodes in Complex Networks

    • Mehrnoush Mohammadi, Parham Moradi, Mahdi Jalili
    Pages 105-120

  11. Forecasting Multivariate Time-Series Data Using LSTM and Mini-Batches

    • Athar Khodabakhsh, Ismail Ari, Mustafa Bakır, Serhat Murat Alagoz
    Pages 121-129

  12. Identifying Cancer-Related Signaling Pathways Using Formal Methods

    • Fatemeh Mansoori, Maseud Rahgozar, Kaveh Kavousi
    Pages 130-141

  13. Predicting Liver Transplantation Outcomes Through Data Analytics

    • Bahareh Kargar, Vahid Gheshlaghi Gazerani, Mir Saman Pishvaee
    Pages 142-160

  14. Deep Learning Prediction of Heat Propagation on 2-D Domain via Numerical Solution

    • Behzad Zakeri, Amin Karimi Monsefi, Babak Darafarin
    Pages 161-174

  15. Cluster Based User Identification and Authentication for the Internet of Things Platform

    • Rafflesia Khan, Md.Rafiqul Islam
    Pages 175-187

  16. Forecasting of Customer Behavior Using Time Series Analysis

    • Hossein Abbasimehr, Mostafa Shabani
    Pages 188-201

  17. Correlation Analysis of Applications’ Features: A Case Study on Google Play

    • A. Mohammad Ebrahimi, M. Saber Gholami, Saeedeh Momtazi, M. R. Meybodi, A. Abdollahzadeh Barforoush
    Pages 202-216

  18. Information Verification Enhancement Using Entailment Methods

    • Arefeh Yavary, Hedieh Sajedi, Mohammad Saniee Abadeh
    Pages 217-225

  19. A Clustering Based Approximate Algorithm for Mining Frequent Itemsets

    • Seyed Mohsen Fatemi, Seyed Mohsen Hosseini, Ali Kamandi, Mahmood Shabankhah
    Pages 226-237

  20. Next Frame Prediction Using Flow Fields

    • Roghayeh Pazoki, Parvin Razzaghi
    Pages 238-247
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Other volumes

  1. Data Science: From Research to Application

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About this book

This book presents outstanding theoretical and practical findings in data science and associated interdisciplinary areas. Its main goal is to explore how data science research can revolutionize society and industries in a positive way, drawing on pure research to do so. The topics covered range from pure data science to fake news detection, as well as Internet of Things in the context of Industry 4.0.


Data science is a rapidly growing field and, as a profession, incorporates a wide variety of areas, from statistics, mathematics and machine learning, to applied big data analytics. According to Forbes magazine, “Data Science” was listed as LinkedIn’s fastest-growing job in 2017.


This book presents selected papers from the International Conference on Contemporary Issues in Data Science (CiDaS 2019), a professional data science event that provided a real workshop (not “listen-shop”) where scientists and scholars had the chance to shareideas, form new collaborations, and brainstorm on major challenges; and where industry experts could catch up on emerging solutions to help solve their concrete data science problems.


Given its scope, the book will benefit not only data scientists and scientists from other domains, but also industry experts, policymakers and politicians.

Editors and Affiliations

  • Institute for Advanced Studies in Basic Science, Zanjan, Iran

    Mahdi Bohlouli, Bahram Sadeghi Bigham, Zahra Narimani, Mahdi Vasighi, Ebrahim Ansari

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