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Data Warehousing & Mining
1. What is the concept of knowledge discovery in database?
2. Describe the following types of Multidimensional Data Models.• Stars, Snowflakes and Constellations• Concept Hierarchies• OLAP Operations
3. Discuss the following Data Preprocessing techniques.
4. State a frequent set.
5. Define the terms Classification and Prediction. Discuss the issues pertaining to Classification and Prediction.
6. Explain major clustering methods with examples.
Name the metrics for selecting top algorithm There are a number of metrics for selecting top algorithm: i) Computational complexity: Computational complexity refers to eff
Ways for Selecting Data Structure Algorithms operate on data structure. Therefore, selection of the best algorithm means selecting the best data structure from whole bunch. Th
Related fields in a database are grouped in which form? Related data fields in a database are grouped to form a data record. (A record is a collection of related fields)
What are the states of transaction? The states of transaction are:- a) Active b) Partially committed c) Failed d) Aborted e )Committed f) Terminated
What is Derived and stored Attribute? Derived and Stored Attribute - In a few cases, two or more attribute values are associated, for example, Age and BirthDate attributes of a
what is un ordered and ordered file managment?
Draw an ER diagram for company''s database schema
Define instance and schema? Instance: Collection of data kept in the data base at a particular moment is known as an Instance of the database. Schema: The o
Give the levels of data abstraction? There are three levels of Data Abstraction a) Physical level b) logical level c) view level
Explain the term- Periodic recomputation Periodic recomputation: Base values are often updated in bunches. Sometimes, it is possible to just recompute all derived attributes p
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