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Advances in Machine Learning for Big Data Analysis Satchidananda Dehuri (Editor)

Name: Advances in Machine Learning for Big Data Analysis Satchidananda Dehuri (Editor)
SKU: EB-42221256
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Advances in Machine Learning for Big Data Analysis Satchidananda Dehuri (Editor) Digital Instant Download

Author(s): Satchidananda Dehuri (editor), Yen-Wei Chen (editor)

ISBN(s): 9789811689291, 9811689296

Edition: 1st ed. 2022

File Details: PDF, 6.59 MB

Year: 2022

Language: English

SKU: EB-42221256 Category: Uncategorized Tags: 9789811689291, 9811689296, Big Data Analysis, Machine Learning, Satchidananda Dehuri (editor), Yen-Wei Chen (editor)

Description

Advances in Machine Learning for Big Data Analysis Satchidananda Dehuri (Editor) – Ebook Instant Download/Delivery ISBN(s): 9789811689291,9811689296

Product details:

• ISBN 10:9811689296
• ISBN 13:9789811689291
• Author(s): Satchidananda Dehuri (editor), Yen-Wei Chen (editor)

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.

Table contents:

1. Multi-objective Ant Colony Optimization: An Updated Review of Approaches and Applications
2. Cost-Effective Detection of Cyber Physical System Attacks
3. A Prognostic Approach to Crime Analysis
4. A Counter-Based Profiling Scheme for Improving Locality Through Data and Reducer Placement
5. Hybridization of the Higher Order Neural Networks with the Evolutionary Optimization Algorithms—An Application to Financial Time Series Forecasting
6. Supply Chain Management (SCM): Employing Various Big Data and Metaheuristic Strategies
7. Value of Random Vector Functional Link Neural Networks in Software Development Effort Estimation
8. Hybrid Approach to Prevent Accidents at Railway: An Assimilation of Big Data, IoT and Cloud
9. Hybrid Decision Tree for Machine Learning: A Big Data Perspective

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