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Big Data Analytics for Smart Urban Systems

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Cover of 'Big Data Analytics for Smart Urban Systems'

Table of Contents

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    Book Overview
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    Chapter 1 Big Data Analytics: An Introduction to Their Applications for Smart Urban Systems
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    Chapter 2 Stock Market Prediction During COVID-19 Pandemic: A Time-Series Big Data Analysis Method
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    Chapter 3 A Big Data Solution to Predict Cryptocurrency Market Trends: A Time-Series Machine Learning Machine learning  Approach
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    Chapter 4 Big Data Analytics for Credit Risk Prediction: Machine Learning Techniques Techniques  and Data Processing Approaches
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    Chapter 5 Worldwide Mobility Trends and the COVID-19 Pandemic: A Federated Regression Analysis During the pandemic’s Early Stage
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    Chapter 6 Adaptive Feature Selection for Google App Rating in Smart Urban Management: A Big Data Analysis Approach
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    Chapter 7 Improve the Daily Societal Operations Using Credit Fraud Detection: A Big Data Classification Solution
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    Chapter 8 Moving Forward with Big Data Analytics and Smartness
Attention for Chapter 4: Big Data Analytics for Credit Risk Prediction: Machine Learning Techniques Techniques  and Data Processing Approaches
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Chapter title
Big Data Analytics for Credit Risk Prediction: Machine Learning Techniques Techniques  and Data Processing Approaches
Chapter number 4
Book title
Big Data Analytics for Smart Urban Systems
Published by
Springer, Singapore, January 2023
DOI 10.1007/978-981-99-5543-5_4
Book ISBNs
978-9-81-995542-8, 978-9-81-995543-5
Authors

Pourroostaei Ardakani, Saeid, Cheshmehzangi, Ali

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