Applications of Data Mining in Engineering, Management and Medicine
Clasificación: | Libro Electrónico |
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Autor principal: | |
Formato: | Electrónico eBook |
Idioma: | Inglés |
Publicado: |
Ashland :
Arcler Press,
2019.
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Temas: | |
Acceso en línea: | Texto completo |
Tabla de Contenidos:
- Cover; Half Title Page; Title Page; Copyright Page; About the Author; Table of Contents; Preface; Chapter 1 Introduction to Data Mining; 1.1. What is Data Mining?; 1.2. Terminology Used in Data Mining; 1.3. Data Mining Process; 1.4. CRISP-DM Process Model; 1.5. SEMMA; 1.6. Data Warehousing Overview; 1.7. OLAP: Online Analytical Processing; 1.8. Data Mining Techniques; Chapter 2 Applications of Data Mining in Management; 2.1. Telecommunications; 2.2. Finance Industry; 2.3. Bankruptcy Prediction; 2.4. Credit Risk Analysis; 2.5. Targeted Marketing; 2.6. Company Performance Prediction
- 2.7. Banking Fraud Detection2.8. Investment Banking; 2.9. Online Security In Data Mining; 2.10. Retail Industry
- Marketing And Sales; 2.11. Energy Domain; 2.12. Education; Chapter 3 Applications of Data Mining in Engineering; 3.1. Introduction; 3.2. Software Systems; 3.3. Applications in Software Management; 3.4. Applications in Software Development Tasks; 3.5. Applications in Software Development Research; 3.6. Practical Application of Data Mining In Software Engineering; 3.7. MapReduce; Chapter 4 Applications of Data Mining In Medicine; 4.1. Introduction; Index