DATA WAREHOUSING AND DATA MINING
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- Write detailed note on three tier data warehouse architecture.
- Write note on various Pre-Processing Tasks.
- What is meant by Big Data? Are Data Warehouses and Big Data Interrelated? If yes, Justify.
- What is Star Schema? What are the Potential Problems with Star Schema? Explain with examples.
- Temporal Support for levels.
- Conceptual Models for Temporal Data Warehouses.
- Need of Synchronization and Relationships in Temporal Data Warehouse
- Fact Relations and Measures.
- Explain the Three-Tier Data Warehouse Architecture
- What is spatial data warehouse? Explain the architecture of spatial systems.
- Discuss the conceptual models for temporal data warehouse.
- Explain temporal hierarchies
- Explain temporal measures.
- What is Bayesian classification? Explain the use of naive Bayesian classification.
- What is back propagation? Write an algorithm for classification by back propagation.
- Explain density based methods for clustering.
- Explain partitioning methods for clustering.
- Discuss the Partitioning method for Cluster Analysis with example.
- Discuss the Multiple Regression used for Prediction with suitable example.
- With relevant examples, discuss the various types of Data in Cluster Analysis.