Question

As we move closer to choosing tools for data mining it is important to understand what you intend to do with a specific tool.

a. In your own words, describe why you would choose a tool to:

- Predict unknown or future value

- Describe with interesting, interpretable patterns

b. In your own words, briefly describe these data mining techniques:

- Regression (predictive)

- Association Rule Discover (descriptive)

- Classification (predictive)

- Clustering (descriptive)

Answer 1

a)-it is necessary to predict future values as it will help us to find useful results and patters on the basis of which we can draw conclusions and also make wise enough decisions so as to predict various cases which are likely to occur in future.

For ex:say we have a hospital database and if are are able to predict some future values based on the present results then may be we can stop a particular disease from spreading.

-it is necessary to describe interesting patterns from the data beacause based on these we have perform data mining and sort the data accordingly and also it will be user friendly for people to understand the various patters to perform studies on the data and and draw the required conclusions.

It will also help us build user friendly models of data.

b) Regression:it is used to predict the future values in the given date object.

Association rule discover:in the given data set a comparison is made between two or more items in the data set ie the association between items and then the data is analyzed.

Classification:the data is broken down into groups and then each of the groups is classified.

Clustering:data with similarities between then is stored in a defined class.