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Problem:
(a) Data mining is one of the best ways to analyse data and using software techniques, hidden and unexpected patterns and relationships in sets of data can be extracted.
(i) What is Predictive Modelling and describe the two techniques associated with this model.
(ii) Describe link analysis and the three specializations of link analysis.
(iii) Data mining being relatively a new technology, what advantages would a Commercial Bank achieved for implementing such a technique. Provide relevant Examples.
(iv) To better exploit data mining what are the pre-requisites for a data warehouse.
The basic merits of decomposition. The Advantages of Decomposition 1. Separate person can work on each subsystem. 2. A particular software engineer can specialize in a
What is relational model feature? A relational model feature is much more data independence than some other database models.
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How does a query tree represent a relational algebra expression? Discuss any three rules for query optimisation, giving example as to when should each rule be applied. Ans
We have a new website where I need someone to 1: Inhabit the back end with all the recruitment agencies in the UK. I require someone who is not manually going to do this, but who w
What is Foreign Key Foreign Key: Sometimes we may have to work with an attribute that does not have a primary key of its own. To recognize its rows, we have to use the primar
Question: (a) What do you meant by content management and briefly describe four major components of a Content Management System? (b) Explain key benefits of a Content Manage
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There are two major types of fragmentation: Horizontal& Vertical. Horizontal fragments, as the name suggests are subsets of tuples and vertical fragments are subsets of attributes
Rules Of Data Normalisation Let us now summarise Normalisation with the help of various clean rules. The following are the necessary rules for the Normalisation process: 1.
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