
Data Science: From Research to Application
Springer (Publisher)
Published on 29. January 2020
Book
Paperback/Softback
XI, 338 pages
978-3-030-37308-5 (ISBN)
Description
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.
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.
More details
Series
Edition
2020 ed.
Language
English
Place of publication
Cham
Switzerland
Publishing group
Springer International Publishing
Target group
Professional and scholarly
Illustrations
42 s/w Abbildungen, 83 farbige Abbildungen
XI, 338 p. 125 illus., 83 illus. in color.
Dimensions
Height: 235 mm
Width: 155 mm
Thickness: 20 mm
Weight
534 gr
ISBN-13
978-3-030-37308-5 (9783030373085)
DOI
10.1007/978-3-030-37309-2
Schweitzer Classification
Other editions
Additional editions

Mahdi Bohlouli | Bahram Sadeghi Bigham | Zahra Narimani
Data Science: From Research to Application
E-Book
01/2020
1st Edition
Springer
€149.79
Available for download
Content
Efficient Cluster Head Selection using the Non-Linear Programming Method for Wireless Sensor Networks.- A New Distributed Ensemble Method with Applications to Machine Learning.- Forecasting Multivariate Time-Series Data Using LSTM and Mini-Batches.- Forecasting of Customer Behavior using Time Series Analysis.- Using Augmented Genetic Algorithm for Search-Based Software Testing.- A Novel Topological Descriptor for ASL.- Extracting Cellphone users' Stay Locations by Multiple-Steps Clustering Approach.