Fundamentals of Information Systems
9th Edition
ISBN: 9781337097536
Author: Ralph Stair, George Reynolds
Publisher: Cengage Learning
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Chapter 6, Problem 8DQ
Program Plan Intro
CRISP-DM model and the ways it is used in Planning and execution of Data mining.
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Chapter 6 Solutions
Fundamentals of Information Systems
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- What precisely is meant by the term "pattern assessment" when it comes to data mining?arrow_forwardDefine Boundary Value Analysis (BVA). List the methods present under it.arrow_forwardDescribe the ETL (Extract, Transform, Load) process in the context of data warehousing. What are its main stages, and why is it crucial for data warehousing?arrow_forward
- Define the terms OLAP and OLTP, and explain how they differ in terms of data usage and system requirements.arrow_forwardExplain the benefits and drawbacks of various data warehousing architectures, such as the Kimball and Inmon methodologies. When is each methodology most suitable?arrow_forwardIn no more than 150 words, please explain how data mining and warehousing are distinct from one another in terms of the applications they serve and the methods by which they are carried out.arrow_forward
- Discuss data warehousing architectures, such as Kimball and Inmon methodologies. What are the key differences between these approaches, and when might one be preferred over the other?arrow_forwardThe dependence on discrete data silos presents difficulties and engenders concern for both the stakeholders involved and the manner in which they are impacted.arrow_forwardDescribe the process of data extraction in ETL (Extract, Transform, Load) and the techniques used to extract data from various source systems.arrow_forward
- Discuss the benefits and drawbacks of various data warehousing architectures, such as the Kimball and Inmon methodologies. When is each methodology most suitable?arrow_forwardExplain the concept of drill-through and drill-down in OLAP analysis. Provide examples of when each is used in data exploration.arrow_forwardDescribe the methods for dealing with data risks.Explanation of how each technique may represent the performance is also required. What is an idle case, and why is it used in pipelining?arrow_forward
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