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KM Question Bank

The document outlines key concepts related to knowledge management, decision support systems, and data warehousing across four units. It covers topics such as knowledge acquisition, group decision-making, business intelligence, and data mining techniques. Additionally, it discusses the relevance of expert systems and artificial intelligence in enhancing organizational decision-making processes.

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ishita85956
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8 views1 page

KM Question Bank

The document outlines key concepts related to knowledge management, decision support systems, and data warehousing across four units. It covers topics such as knowledge acquisition, group decision-making, business intelligence, and data mining techniques. Additionally, it discusses the relevance of expert systems and artificial intelligence in enhancing organizational decision-making processes.

Uploaded by

ishita85956
Copyright
© © All Rights Reserved
We take content rights seriously. If you suspect this is your content, claim it here.
Available Formats
Download as DOCX, PDF, TXT or read online on Scribd
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UNIT-1

1. What is knowledge? How do we capture and share knowledge.


2. Discuss the relevance of a decision support system in an organization.
3. What is group decision support system? Discuss its useful ness for an organization.
4. What is business intelligence?
5. What is knowledge acquisition, sharing and utilization.
6. What is group decision making?
7. What do you understand by groupware technologies?
8. What do you understand by decision support system?
9. Discuss the application of knowledge management.
10. Discuss the need of knowledge management in any organization.
11. Discuss modeling decision process
12. What do you mean by data, information and knowledge?
UNIT-2
1. Discuss the concept of business expert system.
2. Discuss data warehousing. Also explain the data warehouse architecture in detail.
3. Discuss the tools of data warehousing.
4. Discuss the different types of data warehouse.
5. How data warehouse differs from operational database?
6. What do you mean by OLTO, OLTP and OLAP.
7. What is data marts? How does it differ from data warehouse.
8. Compare the OLAP and OLTP.
9. What are the benefits and limitations of expert system? Discuss the significance of AI in an expert
system development.
UNIT-3
1. What do you mean by link analysis?
2. Discuss multi-dimensional data model.
3. What do you mean by data mining?
4. Explain the data mining architecture.
5. Difference between tacit knowledge and explicit knowledge.
6. What are the different techniques for data mining of a stored database? Also discuss the tools for
data mining of an advanced database.
UNIT-4
1. Write down the techniques of knowledge management appreciation & limitations?
2. What do you mean by artificial intelligence?
3. Explain the various KM processes with neat diagram.
4. Explain the knowledge discovery process.

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