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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.
Explain the term High level DML? High level DML A high-level or non-procedural DML permit the user to specify what data is needed without specifying how it is to be acquired.
This project requires you to create a database design. Your design will be documented in a set of Entity-Relationship diagrams. Draw a set of Entity-Relationship diagrams to mode
What are wait-for-graphs?Give the algorithm to construct a wait-for-graph from a given schedule of transactions? How can deadlocks be detected from wait-for-graphs? Ans: The
What are the costs to be considered when a transaction has to be rolled back when recovering from deadlock? Ans: A few transaction will must rolled back (made a victim)
This assignment concerns the Research database. The database ER model is shown above, where attributes are omitted for clarity. The relational model for the database is: Departm
Why Like predicate used for? LIKE predicate: The LIKE predicate searches for strings in which have a certain pattern.
Need an expert in ER database theoretical and modeling database system Project Description: Need an expert in ER database theoretical and modeling database systems? Skills
Performance of Various Concurrency Control Mechanisms
A database is a set of data. But, is the data kept in a database trustworthy? To answer that query we must first answer the question. What is integrity? Integrity simply means t
statical data
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