CU Major Patterns of Data and How They Work Question

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ucngr151

Computer Science

Cumberland University

Question Description

I need help with a Computer Science question. All explanations and answers will be used to help me learn.

What is association rule in data mining?

Why is the association rule especially important in big data analysis?

How does the association rule allow for more advanced data interpretation?

When thinking about data visualization, it is important to understand regular expressions in data analytics.  Therefore, note the importance of data visualizations and choose two types of expressions (* - wildcards for example) and discuss the difference between the two types of expressions

What are the techniques in handling categorical attributes?

How do continuous attributes differ from categorical attributes?

What is a concept hierarchy?

Note the major patterns of data and how they work.

reference : ch. 5 in textbook: Association Analysis: Basic Concepts and Algorithms

When thinking about data visualization, it is important to understand regular expressions in data analytics. Therefore, note the importance of data visualizations and choose two types of expressions (* - wildcards for example) and discuss the difference between the two types of expressions.

reference:ch. 6 in textbook: Association Analysis: Advanced Concepts

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Explanation & Answer

View attached explanation and answer. Let me know if you have any questions.Hey buddy have a look at that incase of anything, let me know.

1.
These are statements which in show the probability of relationships between data items, within
large data sets in various types of databases. It is also finding frequent patterns, correlation, or
casual structures among sets of items in transactional databases.
References.
1. Gregory Piateski, William Frawley, Knowledge Discovery in Databases, MIT Press,
Cambridge, MA, 1991.
2. ch. 5 in textbook: Association Analysis: Basic Concepts and Algorithms
2.
The technique is appropriate for analyzing the correlation in objects, since it considers
conditional interaction among input data sets and produce the decision rules. Data sets are large,
parallel algorithms are required.
References.
1. ch. 5 in textbook: Asso...

RKRYYRAG100 (1726)
New York University

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