
Archive for the ‘M.Sc. Computer Science’ Category
Artificial Intelligence – The May 2007 Paper
Posted by csrins on April 12, 2007
Posted in Artificial Intelligence, Education, M.Sc. Computer Science | 1 Comment »
Artificial Intelligence – Schema Survival Probability
Posted by csrins on April 2, 2007
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Data Warehousing and Mining – Unit 14 – Review Questions
Posted by csrins on January 7, 2007
Data Warehousing and Mining – Unit 14 – Applications and Trends in Data Mining
Data Mining Applications
- Write a short note on data mining for biomedical and DNA data analysis.
- What are the applications of data mining for financial data analysis?
- Discuss the benefits of data mining for the telecommunication industry.
Data Mining System Products and Research Prototypes
- Discuss the various forces which influence the decision to choose a data mining system.
Additional Themes on Data Mining
- Write a short note on visual and audio data mining.
- Enumerate and discuss various statistical techniques and methos for data analysis.
Trends in Data Mining
- Discuss and elaborate the current trends in data mining.

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Data Warehousing and Mining – Unit 13 – Review Questions
Posted by csrins on December 15, 2006
Data Warehousing and Mining – Unit 13 – Architectures of Data Mining Systems
- What are the characteristics of a desired architecture for data mining systems?
- Discuss the following coupling schemes for a DB/DW/DM system:
- No coupling
- Loose coupling
- Semitight coupling
- Tight coupling
- Discuss the merits of the different coupling schemes for a DB/DW/DM system.

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Data Warehousing and Mining – Unit 12 – Review Questions
Posted by csrins on December 15, 2006
Data Warehousing and Mining – Unit 12 – Data Mining Query Language
- Discuss the importance of a data mining query language.
- What are the challenges faced in the design of an effective data mining query language?
- With a suitable example elaborate how DMQL can be used to specify task-relevant data for an association relationship.
- Illustrate with an example the application of DMQL for specifying the kind of knowledge to be mined.
- What is a meta pattern? How can it be used in DMQL to mine association rules?
- Present DMQL for specifying a concept hierarchy.
- Discuss the DMQL syntax for pattern interestingness measures.
- How can DMQL be used to specify the forms of presentation and visualization used in displaying the discovered patterns?

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivs 2.5 License.
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