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Machine Learning for Intelligent Decision Science

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Cover of 'Machine Learning for Intelligent Decision Science'

Table of Contents

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    Book Overview
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    Chapter 1 Development of Different Machine Learning Ensemble Classifier for Gully Erosion Susceptibility in Gandheswari Watershed of West Bengal, India
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    Chapter 2 Classification of ECG Heartbeat Using Deep Convolutional Neural Network
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    Chapter 3 Breast Cancer Identification and Diagnosis Techniques
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    Chapter 4 Energy-Efficient Resource Allocation in Data Centers Using a Hybrid Evolutionary Algorithm
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    Chapter 5 Root-Cause Analysis Using Ensemble Model for Intelligent Decision-Making
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    Chapter 6 Spider Monkey Optimization Algorithm in Data Science: A Quantifiable Objective Study
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    Chapter 7 Multi-agent-Based Systems in Machine Learning and Its Practical Case Studies
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    Chapter 8 Computer Vision and Machine Learning Approach for Malaria Diagnosis in Thin Blood Smears from Microscopic Blood Images
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Title
Machine Learning for Intelligent Decision Science
Published by
Springer Singapore, July 2020
DOI 10.1007/978-981-15-3689-2
ISBNs
978-9-81-153688-5, 978-9-81-153689-2
Editors

Rout, Jitendra Kumar, Rout, Minakhi, Das, Himansu

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