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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.
In the architecture of a database system which external level used? In the architecture of a database system view external level used.
Domain Constraint It shows that each attribute in a relation has to contain an atomic value only from the corresponding domains. The data types associated with commercial RDBMS
Example : Create a sequence named SEQSS that starts at 105, has a step of 1 and can take maximum value as 2000. CREATE SEQUENCE SEQSS START WITH 105 INCREMENT BY 1 MAX VA
Sparse and Dense Indexes These indexes in principle are the similar as that of indexes used at the back of the book. The key facts of the indexes are: They are arranged
Physical Database Design Issues The database design includes the process of logical design with the use of E-R diagram, normalisation, etc., followed by the physical design.
What are shortcomings in structured approach? Structured methodology treats data and their behaviours separately, and this makes it harder to isolate changes. If changes are re
Explain CNT in the respects of QBE ? CNT: It is one of the aggregation commands given in QBE. It is used to identify number of tuples
What are composite objects? Objects that have other objects are known as complex objects or composite objects.
In case of entity integrity, the primary key may be declared? In a case of entity integrity primary key may be not Null.
Normal 0 false false false EN-US X-NONE X-NONE
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