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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.
Question: Data Mining is the process of extracting knowledge hidden from large volumes of raw data. (a) Using a suitable example, illustrate how Data Mining can be useful t
Enumerate or state the steps in creating a relevant database of a shop.
Equi Join: A join in which the joining condition is based on equality among values in the common columns. Common columns show (redundantly) in the result table. Let us Consider th
Complete replication: It implies maintaining of a whole copy of the database at every site. Thus, the reliability & availability and performance for query response are maximized.
1. Determine that the Checkpoints are a part of Ans: Checkpoints are a part of Recovery measures
OBJECTIVES After going through this unit you should be capable to: Explain the File Based system and its limitations; Explain the structure of DBMS; Explain the
How is Oracle used in PL/SQL? Define the features of process and how they are defined? PL/SQL - PL/SQL is Oracle's procedural language (PL) superset of the Structured
Write A short note on temporary tables? Temporary Tables - Temporary tables exists solely for a particular session, or whose data persists for the duration of the transaction
How to draw an ER diagram to a finance companz
I have to solve a problem using access
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