Can I read Machine Learning Techniques in Data Fusion: A Review on EtoBox?

Machine Learning Techniques in Data Fusion: A Review by Muskan Sharma; Priyanka Kushwaha; Pragati Kumari; Pushpanjali Kumari; Richa Yadav is a book available to read on EtoBox.

What is Machine Learning Techniques in Data Fusion: A Review about?

In data fusion, various data sources are unified to get more data than a single source. Due to the increasing amount of real-time data and increasing data complexity, the traditional methods are not enough in today's world, therefore the dependency on machine learning algorithms is increasing for data fusion. Many machine learning methods have been studied before but a structural review of machine learning algorithms in data fusion is yet to come. Therefore, it is vital to analyze and sum up the various machine learning techniques used in data fusion. This paper provides a structural analysis of machine learning techniques used in data fusion. Firstly, the paper explains the framework of machine learning and data fusion followed by various standards as well as essential machine learning techniques which are used in most of the paper, and at last, a quick introduction to all typical machine learning techniques are given for better understanding. ## Keywords Data fusion • Machine learning • Classification Supported by organization IGDTUW. Insights and solutions that were hidden before and assist teams in making better informed, and often quicker, decisions that benefit many stakehold

Author

Muskan Sharma; Priyanka Kushwaha; Pragati Kumari; Pushpanjali Kumari; Richa Yadav

Publisher

Springer Nature Singapore Pte Ltd Fka Springer Science + Business Media Singapore Pte Ltd

Published

2023

Language

EN

ISBN

9789819920990

Subjects

Technology, Science, Engineering