Data Warehousing and Mining Assignment questions

UNIT-I

Short Question:
1. Describe heterogeneous and legacy database?
2. Describe about object-relational database?
3. Describe about Transactional Database?
4. What is data warehouse? Briefly describe the need for the data warehousing.

Long Questions:
1. What is data mining? Briefly explain the Knowledge discovery process?
2. Discuss about Data Mining Task Primitives.
3. Draw and explain the architecture of a typical data mining system
4. Describe different data mining functionalities
5. What are the major issues in data mining? Explain
6. Discuss about integration of data mining with data base.

UNIT-II
Short Question:
1. Describe how correlation coefficient is computed?
2. What is data reduction? What is dimensionality reduction?
3. What is data Cleaning?
4. What is Data Integration?
5. what is Data Pre-Processing?

Long Questions:
1. What is data cleaning? Describe the approaches to fill missing values?
2. Briefly describe various forms of data pre-processing?
3. What is noise data? Explain the binning methods for data smoothing?
4. What is data integration? Discuss the issues to be considered for data integration?
5. What is entity identification problem and why it is useful?
6. What is lossless and lossy dimensionality reduction? Describe any one technique for loosy dimensionality reduction.
7. With Examples , discuss in detail about the available techniques for  concept hierarchy generation for categorical data?

UNIT-III
Short Question:
1. What is Data warehouse?
2. Describe snowflake and fact constellations?
3. Describe different types of OLAP servers? 

Long Questions:
1. Explain the three-tire Architecture.
2. What is concept hierarchy? Describe the OLAP operations in the multidimensional data model.
3. Difference between operational data base system and data warehouses.
4. Briefly discuss about the following data warehouse implementation methods: a) Indexing OLAP data b) Metadata Reprository c) Efficient processing of OLAP queries
5. Explain about Architecture for On-Line Analytical Mining

UNIT-IV
Short Question:
Long Questions:

UNIT-V
Short Question:


Long Questions:

UNIT-VI
Short Question:


Long Questions:

UNIT-VII
Short Question:


Long Questions:

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