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What is Predictive Analysis

Chapter 84
Encyclopedia of Data Science and Machine Learning
An analytical technique that makes simulations and forecasting in regards to uncertainties and unknown events using a variety of mathematical processes, such as statistical modeling, data mining, machine learning, etc.
Published in Chapter:
Decision-Making Approaches for Airport Surrounding Traffic Management
Xiangfen Kong (Civil Aviation University of China, China) and Peng Zhao (INTELLIGENTRABBIT LLC, USA)
Copyright: © 2023 |Pages: 11
DOI: 10.4018/978-1-7998-9220-5.ch084
Abstract
This article is designed to investigate the automatic decision support system in terms of analyzing airport surrounding road networks. Several decision-making approaches are illustrated and examined based on a broad range of data-driven methods, including data mining, machine learning, and deep learning. Each method has been investigated by providing a survey study that involves the most recent and comprehensive understanding of traffic engineering. As a specific problem in urban traffic congestions, airport surrounding traffic management can be referenced from similar studies in urban traffic congestion. The study can be used in improving the airport services in terms of operational efficiency and airport landside management, further supporting the construction of the smart airport.
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Chapter 18
Machine Learning in Text Analysis
To predict the future based on historical data.
Published in Chapter: Machine Learning in Text Analysis; From: Handbook of Research on Emerging Trends and Applications of Machine Learning
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Chapter 12
Big Data Thinking of Economy, Investment, and Business in COVID-19
An analytical technique that makes simulations and forecasting in regards to uncertainties and unknown events using a variety of mathematical processes, such as statistical modeling, data mining, machine learning, etc.
Published in Chapter: Big Data Thinking of Economy, Investment, and Business in COVID-19; From: Applied Big Data Analytics and Its Role in COVID-19 Research
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Chapter 27
Data Mining: Payoffs and Pitfalls
The use of data mining techniques, historical data, and assumptions about future conditions to predict outcomes of events.
Published in Chapter: Data Mining: Payoffs and Pitfalls; From: Encyclopedia of Information Technology Curriculum Integration
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Chapter 2
Simulating and Preventing COVID-19 Using Epidemiological Models
An analytical technique that makes simulations and forecasting in regards to uncertainties and unknown events using a variety of mathematical processes, such as statistical modeling, data mining, machine learning, etc.
Published in Chapter: Simulating and Preventing COVID-19 Using Epidemiological Models; From: Applied Big Data Analytics and Its Role in COVID-19 Research
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Chapter 6
Artificial Intelligence in the Context of Digital Marketing
The use of analytical techniques in order to be able to guess with a high level of confidence a future occurrence.
Published in Chapter: Artificial Intelligence in the Context of Digital Marketing; From: Confronting Security and Privacy Challenges in Digital Marketing
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Chapter 64
Data Mining Fundamental Concepts and Critical Issues
Use of data mining techniques, historical data, and assumptions about future conditions to predict outcomes of events.
Published in Chapter: Data Mining Fundamental Concepts and Critical Issues; From: Encyclopedia of Artificial Intelligence
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