Search the World's Largest Database of Information Science & Technology Terms & Definitions
InfInfoScipedia LogoScipedia
A Free Service of IGI Global Publishing House
Below please find a list of definitions for the term that
you selected from multiple scholarly research resources.

What is Feature Engineering

Chapter 39
Encyclopedia of Data Science and Machine Learning
Feature engineering means creating new features exploiting the knowledge gained during exploratory data analysis as well as domain knowledge of dataset and application of encoding techniques like stage, label, dummy (one hot), frequency, target encoding.
Published in Chapter:
Machine Learning and Exploratory Data Analysis in Cross-Sell Insurance
Anand Jha (Rustamji Institute of Technology, BSF Academy, Tekanpur, India) and Brajkishore Prajapati (Rustamji Institute of Technology, BSF Academy, Tekanpur, India)
Copyright: © 2023 |Pages: 35
DOI: 10.4018/978-1-7998-9220-5.ch039
Abstract
Data is playing a central role in the insurance industry. The current journey of insurance industry is conquered by data collection to make future decisions since this is the digital era of the insurance industry in its journey of 700+ years. This chapter focuses on exploratory data analysis (EDA) to identify significant and critical factors to develop business strategy as well as to predict customers' responses in cross-sell health insurance. Response is either acceptance or rejection of a health insurance product offered to existing customers, who may or may not hold policies with the company. Exploratory data analysis (EDA) presents data analysis and visualization from various lookouts to characterize data that can help the insurer in strategic decision making.
Full Text Chapter Download: US $37.50 Add to Cart
More Results
Chapter 15
Real-Time Problems to Be Solved by the Combination of IoT, Big Data, and Cloud Technologies
Full Text Chapter Download: US $37.50 Add to Cart
Chapter 9
Use of Data Analytics to Increase the Efficiency of Last Mile Logistics for Ecommerce Deliveries
Full Text Chapter Download: US $37.50 Add to Cart
Chapter 159
Machine Learning and Sensor Data Fusion for Emotion Recognition
It is the process of identifying the most relevant and important features for machine learning algorithms for creating predictive models for machine learning.
Published in Chapter: Machine Learning and Sensor Data Fusion for Emotion Recognition; From: Encyclopedia of Data Science and Machine Learning
Full Text Chapter Download: US $37.50 Add to Cart
Chapter 12
Development, Sustainment, and Scaling of Self-Regulated Learning Analytics: Prediction Modeling and Digital Student Success Initiatives in University Contexts
Any actions taken to create a new trace from raw event data captured in a logfile. Learning analytics practitioners will engage in feature engineering as they label and organize learning events of interest to educators who aim to make decisions or inferences about learners in a learning environment.
Published in Chapter: Development, Sustainment, and Scaling of Self-Regulated Learning Analytics: Prediction Modeling and Digital Student Success Initiatives in University Contexts; From: Supporting Self-Regulated Learning and Student Success in Online Courses
Full Text Chapter Download: US $37.50 Add to Cart
eContent Pro Discount Banner
InfoSci OnDemandECP Editorial ServicesAGOSR