Machine Learning for Intelligent Decision Science / / edited by Jitendra Kumar Rout, Minakhi Rout, Himansu Das
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| Titolo: |
Machine Learning for Intelligent Decision Science / / edited by Jitendra Kumar Rout, Minakhi Rout, Himansu Das
|
| Pubblicazione: | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2020 |
| Edizione: | 1st ed. 2020. |
| Descrizione fisica: | 1 online resource (219 pages) |
| Disciplina: | 006.31 |
| Soggetto topico: | Computational intelligence |
| Machine learning | |
| Engineering - Data processing | |
| Data mining | |
| Computational Intelligence | |
| Machine Learning | |
| Data Engineering | |
| Data Mining and Knowledge Discovery | |
| Persona (resp. second.): | RoutJitendra Kumar |
| RoutMinakhi | |
| DasHimansu | |
| Nota di contenuto: | 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. . |
| Sommario/riassunto: | 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. |
| Titolo autorizzato: | Machine Learning for Intelligent Decision Science |
| ISBN: | 981-15-3689-9 |
| Formato: | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione: | Inglese |
| Record Nr.: | 9910483472203321 |
| Lo trovi qui: | Univ. Federico II |
| Opac: | Controlla la disponibilità qui |
Serie:
Algorithms for Intelligent Systems, . 2524-7573