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© 2020

Data Science: From Research to Application

  • Mahdi Bohlouli
  • Bahram Sadeghi Bigham
  • Zahra Narimani
  • Mahdi Vasighi
  • Ebrahim Ansari
Conference proceedings CiDaS 2019

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

Table of contents

  1. Front Matter
    Pages i-xi
  2. Maryam Afshoon, Amin Keshavazi, Tajedin Darikvand, Mahdi Bohlouli
    Pages 1-12
  3. Azadeh Jalilian, Zahra Narimani, Ebrahim Ansari
    Pages 24-35
  4. Saeid Pashazadeh, Leila Namvari Tazehkand, Reza Soltani
    Pages 36-43
  5. Saeed Taghizadeh, Mahmood Shabankhah, Ali Moeini, Ali Kamandi
    Pages 44-58
  6. Reza Ebrahimi Atani, Hasan Farzaneh, Sina Bakhshayeshi
    Pages 59-75
  7. Hassan Khastavaneh, Hossein Ebrahimpour-Komleh
    Pages 89-104
  8. Mehrnoush Mohammadi, Parham Moradi, Mahdi Jalili
    Pages 105-120
  9. Athar Khodabakhsh, Ismail Ari, Mustafa Bakır, Serhat Murat Alagoz
    Pages 121-129
  10. Fatemeh Mansoori, Maseud Rahgozar, Kaveh Kavousi
    Pages 130-141
  11. Bahareh Kargar, Vahid Gheshlaghi Gazerani, Mir Saman Pishvaee
    Pages 142-160
  12. Behzad Zakeri, Amin Karimi Monsefi, Babak Darafarin
    Pages 161-174
  13. Hossein Abbasimehr, Mostafa Shabani
    Pages 188-201
  14. A. Mohammad Ebrahimi, M. Saber Gholami, Saeedeh Momtazi, M. R. Meybodi, A. Abdollahzadeh Barforoush
    Pages 202-216
  15. Arefeh Yavary, Hedieh Sajedi, Mohammad Saniee Abadeh
    Pages 217-225
  16. Seyed Mohsen Fatemi, Seyed Mohsen Hosseini, Ali Kamandi, Mahmood Shabankhah
    Pages 226-237
  17. Roghayeh Pazoki, Parvin Razzaghi
    Pages 238-247

About these proceedings

Introduction

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 share ideas, 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.

Keywords

Data Science Machine Learning Big Data Semantic Data Science Applied Data Science CiDas CiDas 2019

Editors and affiliations

  • Mahdi Bohlouli
    • 1
  • Bahram Sadeghi Bigham
    • 2
  • Zahra Narimani
    • 3
  • Mahdi Vasighi
    • 4
  • Ebrahim Ansari
    • 5
  1. 1.Institute for Advanced Studies in Basic ScienceZanjanIran
  2. 2.Institute for Advanced Studies in Basic ScienceZanjanIran
  3. 3.Institute for Advanced Studies in Basic ScienceZanjanIran
  4. 4.Institute for Advanced Studies in Basic ScienceZanjanIran
  5. 5.Institute for Advanced Studies in Basic ScienceZanjanIran

Bibliographic information

  • Book Title Data Science: From Research to Application
  • Editors Mahdi Bohlouli
    Bahram Sadeghi Bigham
    Zahra Narimani
    Mahdi Vasighi
    Ebrahim Ansari
  • Series Title Lecture Notes on Data Engineering and Communications Technologies
  • Series Abbreviated Title Lecture Notes on Data Engineering and Communications Technologies
  • DOI https://doi.org/10.1007/978-3-030-37309-2
  • Copyright Information Springer Nature Switzerland AG 2020
  • Publisher Name Springer, Cham
  • eBook Packages Intelligent Technologies and Robotics Intelligent Technologies and Robotics (R0)
  • Softcover ISBN 978-3-030-37308-5
  • eBook ISBN 978-3-030-37309-2
  • Series ISSN 2367-4512
  • Series E-ISSN 2367-4520
  • Edition Number 1
  • Number of Pages XI, 338
  • Number of Illustrations 42 b/w illustrations, 83 illustrations in colour
  • Topics Computational Intelligence
    Artificial Intelligence
  • Buy this book on publisher's site
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