This book focuses on research aspects of ensemble approaches of machine learning techniques that can be applied to address the big data problems. In this book, various advancements of machine learning algorithms to extract data-driven decisions from big data in diverse domains such as the banking sector, healthcare, social media, and video surveillance are presented in several chapters. Each of them has separate functionalities, which can be leveraged to solve a specific set of big data applications. This book is a potential resource for various advances in the field of machine learning and data science to solve big data problems with many objectives. It has been observed from the literature that several works have been focused on the advancement of machine learning in various fields like biomedical, stock prediction, sentiment analysis, etc. However, limited discussions have been carried out on application of advanced machine learning techniques in solving big data problems.
| ISBN: | 9789811689321 |
| Publication date: | 26th February 2023 |
| Author: | Satchidananda Dehuri |
| Publisher: | Springer Verlag, Singapore |
| Format: | Paperback |
| Pagination: | 239 pages |
| Series: | Intelligent Systems Reference Library |
| Genres: |
Machine learning Algorithms and data structures Data capture and analysis |
This book focuses on research aspects of ensemble approaches of machine learning techniques that can be applied to address the big data problems. In this book, various advancements of machine learning algorithms to extract data-driven decisions from big data in diverse domains such as the banking sector, healthcare, social media, and video surveillance are presented in several chapters. Each of them has separate functionalities, which can be leveraged to solve a specific set of big data applications. This book is a potential resource for various advances in the field of machine learning and data science to solve big data problems with many objectives. It has been observed from the literature that several works have been focused on the advancement of machine learning in various fields like biomedical, stock prediction, sentiment analysis, etc. However, limited discussions have been carried out on application of advanced machine learning techniques in solving big data problems.
Advances in Machine Learning for Big Data Analysis features in the following genres: Machine learning, Algorithms and data structures, Data capture and analysis
Advances in Machine Learning for Big Data Analysis is available in Paperback
Advances in Machine Learning for Big Data Analysis was written by Satchidananda Dehuri and published by Springer Verlag, Singapore
Advances in Machine Learning for Big Data Analysis has 239 pages
Yes it is part of Intelligent Systems Reference Library series
£134.99