知的意思決定のための機械学習 Machine Learning for Intelligent Decision Science (Algorithms for Intelligent Systems)

Rout, Jitendra Kumar (EDT)/ Rout, Minakhi (EDT)/ Das, Himansu (EDT)

Springer Verlag, Singapore（2021/04発売）

• 製本 Paperback:紙装版/ペーパーバック版／ページ数 209 p.
• 言語 ENG
• 商品コード 9789811536915
• DDC分類 620

Full Description

The book discusses machine learning-based decision-making models, and presents intelligent, hybrid and adaptive methods and tools for solving complex learning and decision-making problems under conditions of uncertainty. Featuring contributions from data scientists, practitioners and educators, the book covers a range of topics relating to intelligent systems for decision science, and examines recent innovations, trends, and practical challenges in the field. The book is a valuable resource for academics, students, researchers and professionals wanting to gain insights into decision-making.

Contents

Development of Different Machine Learning Ensemble Classifier for Gully Erosion Susceptibility in Gandheswari Watershed of West Bengal, India.- Classification of ECG Heartbeat using Deep Convolutional Neural Network.- Breast Cancer Identification and Diagnosis Techniques.- Energy Efficient Resource Allocation in Data Centers using a Hybrid Evolutionary Algorithm.- Root Cause Analysis using Ensemble Model for Intelligent Decision-Making.- Spider Monkey Optimization Algorithm in Data Science: A Quantifiable Objective Study.- Multi-Agent Based Systems In Machine Learning and Its Practical Case Studies.- Computer Vision and Machine Learning Approach for Malaria Diagnosis in Thin Blood Smears from Microscopic Blood Images.