Knowledge Management and New Economy (Set-1)

Knowledge Management and New Economy

Q1: How GDSS is related to Groupware? Explain

Q2: Differentiate between Executive Information Systems, Decision Support systems and OLTP.

Q3: Contrast between Data warehousing and OLAP

Q4: Explain the terms: data, text and web mining.

Q5: Contrast between knowledge discovery in database and data mining.



Q6: Discuss the importance of knowledge in a business organization.

Q7: Explain the process of decision making using an example.

Q8: Explain the concept and capabilities of Business Intelligence. Name some Business Intelligence tools available in the market.

Q9: What are decision support systems? Explain.

Q10: What are the advantages of GDSS? Support your answer with examples.

Q11: Contrast between data warehousing and Business Intelligence.

Q12: What is a data warehouse? Why do we need them? Explain.

Q13: Differentiate between OLTP and OLAP.

Q14: What is data cleaning? How can we do that?

Q15: Explain the architecture of data warehouse.

Q16: What are datamarts? How are they useful to a business organisation?

Q17: Differentiate between Data warehousing and Data Mining.

Q18: Discuss the following techruques of data mining: Genetic Algorithm, Neural Networks, and Association Rules.

Q19: What is the difference between data mining and SQL?

Q20: Discuss the applications of data mining in retail industry.

Q21: What is star schema? What are the major components schema?

Q22: Distinguish among data, information and knowledge giving examples.

Q23: Explain the processes of knowledge management i.e. knowledge generation, storage and sharing.

Q24: What is a knowledge management system? What are its benefits?

Q25: Contrast between knowledge base and database.

Q26: What are knowledge maps?

Q27: What are strategic decisions? Why are they important for an organization?

Q28: Explain why OLAP is a kind of modeling system.

Q29: A data mart can replace a data warehouse or complement it. Compare and discuss these options.

Q30: Explaln how neural networks help in mining of data.

Q31: Describe the knowledge based economy.

Q32: What is starflake schema? Differentiate between Factual and Reference data.

Q33: How are algorithms and heuristic search methods similar and how are they different?

Q34: What are the hardware and software requirements to build decision support systems?

Q35: Explain the roles of internet, intranet and extranet in building group decision support systems.

Q36: Draw and explain data warehouse architecture with special reference to banking sector.

Q37: Explain the architecture of expert system.

Q38: Describe the types of OLAP.

Q39: Explain the process of knowledge discovery in databases.

Q40: How data coding helps in data mining?

Q41: Explain the following techniques of data mining:
    (a) Genetic Algorithms
    (b) Case-based Reasoning

Q42: Discuss the applications of data mining in retail sector.

Q43: How are groupware technologies, data warehouse, data mining and artificial intelligence related to knowledge management?

Q44: Describe the process of knowledge generation and knowledge storage.

Q45: Suggest the knowledge management initiatives for universities.