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Question :
(a) Data mining is one of the best ways to analyse data and using software method, hidden and unexpected patterns and relationships in sets of data can be extracted.
(i) What is Predictive Modelling and explain the two techniques associated with this model.
(ii) Explain 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.
Define the terms i) Key attribute ii) Value set Key attribute: An entity type usually has an attribute whose values are exact from each individual entity in the collection. Su
Consider the following relational scheme: R (a,b,c,d,e,f) and its corresponding set of FDs {d→ a, be → c, ac → e, b → f, f → d, a → c}. a. Is the following decomposition i) non
Project Description: This is a Customer Management project. Customer data is presented in a text file. The program can load this text data into its database columns. The data ma
What is a view? A view is a logical view on one or more tables. A view on one or more tables i.e., the data from a view is not actually physically kept instead being derived f
Serialisable Schedules: If the processes of two transactions conflict with each other, how to verify that no concurrency related problems have happened? For this, serialisability t
find the name of supplier who supply some red part
What are the types of storage devices? Primary storage Secondary storage Tertiary storage Volatile storage Nonvolatile storage
4. Describe three ways to handle missing field values
what is Mapping Constraints? with examples
What are the advantages of by using an index and what are its disadvantages ? In difference, if the search key of a secondary index is not a candidate key, it is not sufficient
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