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1.Why we need data mining? Give an example to illustrate your answer.
2. Why data mining is considered as "misleading name"?
3. Distinguish the difference between database and data warehouse? Give 4 differences at least.
4. Discus the major difference between relational database and object oriented database?
5. Text databases may be highly unstructured, semi structured and well structured. Give an example for each.
6. How can data mining affect our privacy? Give examples to illustrate your answer.
Draw an E_R Model for the following: An organization uses number of items of a equipment to generates goods. Each item is at one LOCATION, of one TYPE and has a DETAILED_DISCRI
Define Direct file organization? The direct file organization is employed to enhance the performance in accessing the records than sequential file organization. In direct file
Problem: ‘Users and Information system specialists need to spend inordinate amounts of time locating and gathering data' (Watson and Hal, 1998) Recent developments in the ar
What do you understand by ACID? - ACID (Atomicity Consistency Isolation Durability) is a quality sought after in a reliable database. Here's the relevance of each quality:
Give an example of Object Representation For illustration, consider the implementation of a social security number within an employee object that is shown in Figure. The soci
construct a b-tree for the following set of key values 2,3,5,7,11,17,19,23,29,31.assume that the tree is initial empty and the values are added in ascending order
Explain Hashing techniques The hashing techniques can be categorized as: Static Hashing Techniques - In this method, the data can be viewed a collection of buckets, along with
Which is an advantage of view? The Advantages of view is Data security, Derived columns and Hiding of complex queries
What is a dataset? A dataset is an in-memory database that is disconnected from any regular database, but has all the significant characteristics of a regular database. Dataset
What are called multilevel indices? Indices with two or more levels are known as multilevel indices.
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