Applications of Data Mining in Engineering, Management and Medicine

Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Kaul, Neha
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Ashland : Arcler Press, 2019.
Temas:
Data mining.
Engineering > Data processing.
Management > Data processing.
Medicine > Data processing.
Business > Data processing.
Medical informatics.
Exploration de données (Informatique)
Ingénierie > Informatique.
Gestion > Informatique.
Médecine > Informatique.
Medical informatics
Business > Data processing
Data mining
Engineering > Data processing
Management > Data processing
Medicine > Data processing
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

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