Khoa Công Nghệ Thông Tin
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Chapter 1. Introduction. Chapter 2. Manufacturing. Chapter 3. Telecommunications. Chapter 4. Health care. Chapter 5. Insurance. Chapter 6.Financial services. Chapter 7. Professional services. Chapter 8. Travel. Chapter 9. E-commerce models. Chapter 10. Using the industry medels in the real world.
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The data model resource book : vol 3 : universal patterns for data modeling
Chapter 1: Introduction. Chapter 2. Setting up roles: What parties do. Chapter 3. Using roles: How parties are involved. Hierarchies, aggregations, and peer-to-peer relationship: The organization of similar data. Chapter 5. Types and catergories: The classification of data. Chapter 6. Status: The ...
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The elements of statistical learning : data mining, inference, and prediction : 2nd ed.
Contents: 1. Introduction; 2. Overview of supervised learning; 3. Linear methods for regression; 4. Linear methods for classification; 5. Basis expansions and regularization; 6. Kernel smoothing methods; 7. Model assessment and selection; 8. Model inference and averaging; 9. Additive models, trees, ...
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Software quality assurance : from theory to implementation
Part 1: Introduction. Part 2: Pre-project software quality components. Part 3: SQA components in the project life cycle. Part 4: Software quality infrastructure components. Part 5: Management components of software quality. Part 5: Standards, certification and assessment. Part 6: Organization for ...
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