Explain difference between data mining and data warehousing


Discussion Post I: Introduction to Data mining

• Explain the difference between data mining and data warehousing?

Discussion Post II: Data Mining "Anomaly Detection"

• What are Anomalies/Outliers? And what are some variants of Anomaly/Outlier Detection Problems?

• What are some Challenges and Work Assumptions of Anomaly Detection?

• Explain the Nearest-Neighbor Based Approach and the different ways to Define Outliers.

• Explain the Density-based: LOF Approach.

• Provide the General Steps and Types of Anomaly Detection Schemes.

Discussion Post III: Security Architecture and Design

In the following scenario you are the CISSO of a Major E-commerce Organization. The organization has decided to migrate their entire IT infrastructure and associated processes to the cloud. Considering the ecosystem of the cloud and the ever-present threats, you've been tasked to develop a secure implementation plan which includes the ability for threat modeling and simulations.

The response should include a reference list. Using one-inch margins, Times New Roman 12 pnt font, double-space and APA style of writing and citations.

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Database Management System: Explain difference between data mining and data warehousing
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