Emerging perspectives in big data warehousing
"This book disseminates the latest research findings in the areas of data management and analyzation. It also focuses on the integration between the fields of data warehousing and data mining"--
| Другие авторы: | , |
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| Формат: | Электронная книга |
| Язык: | English |
| Публикация: |
Hershey, PA
IGI Global,
[2019]
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| Предметы: | |
| Online-ссылка: | EBSCOhost Перейти в каталог НБ ТГУ |
Оглавление:
- Chapter 1. A two-tiered segmentation approach for transaction data warehousing
- Chapter 2. Real-time big data warehousing
- Chapter 3. Deductive data warehouses: analyzing data warehouses with datalog (by example)
- Chapter 4. A trajectory ontology design pattern for semantic trajectory data warehouses: behavior analysis and animal tracking case studies
- Chapter 5. Personalized spatio-temporal OLAP queries suggestion based on user behavior and a new similarity measure
- Chapter 6. Building OLAP cubes from columnar NoSQL data warehouses
- Chapter 7. Commercial and open source business intelligence platforms for big data warehousing
- Chapter 8. Index structures for data warehousing and big data analytics
- Chapter 9. Multidimensional analysis of big data
- Chapter 10. Development of ETL processes using the domain-specific modeling approach
- Chapter 11. Introduction of item constraints to discover characteristic sequential patterns.