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What is Feature Subset Selection

Chapter 6
Automated Systems in the Aviation and Aerospace Industries
Procedure for reduction of data dimensionality with a goal to select the most relevant set of features for a given task trying not to sacrifice the performance.
Published in Chapter:
AF 447 as a Paradigmatic Accident: The Role of Automation on a Modern Airplane
Antonio Chialastri (STASA, Italy)
Copyright: © 2019 |Pages: 27
DOI: 10.4018/978-1-5225-7709-6.ch006
Abstract
In this chapter, the author presents a human factors problem for automation: why, when, and how automation has been introduced in the aviation domain; what problems arise from different ways of operating; and the possible countermeasures to limit faulty interaction between humans and machines. This chapter is divided into parts: definition of automation, its advantages in ensuring safety in complex systems such as aviation; reasons for the introduction of on-board automation, with a quick glance at the history of accidents in aviation and the related safety paradigms; ergonomics: displays, tools, human-machine interaction emphasizing the cognitive demands in high tempo and complex flight situations; illustration of the AF 447 case, a crash happened in 2009, which causes are linked to faulty human-machine interaction.
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Chapter 10
Prediction and Analysis of Financial Crises Using Machine Learning
A process of selecting a subset of relevant features or variables from a larger set of available features to improve model performance and reduce computational complexity.
Published in Chapter: Prediction and Analysis of Financial Crises Using Machine Learning; From: Advancement in Business Analytics Tools for Higher Financial Performance
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Chapter 17
Particle Swarm Optimization Algorithm and its Hybrid Variants for Feature Subset Selection
Selection of a feature subset from a set with large number of features having the maximum discriminatory power for separating the classes of the related pattern recognition problem.
Published in Chapter: Particle Swarm Optimization Algorithm and its Hybrid Variants for Feature Subset Selection; From: Handbook of Research on Computational Intelligence for Engineering, Science, and Business
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Chapter 6
Design and Development of Small-Scale Oil Palm Waste Shredder for Achieving Environmental Sustainability
Procedure for reduction of data dimensionality to select the most relevant set of features for a given task trying not to sacrifice the performance.
Published in Chapter: Design and Development of Small-Scale Oil Palm Waste Shredder for Achieving Environmental Sustainability; From: Handbook of Research on Waste Diversion and Minimization Technologies for the Industrial Sector
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