Describe the three common forms of datamining analysisSoluti

Describe the three common forms of data-mining analysis?

Solution

Please follow the data and description :

Data Mining :

Generally, data mining refers to the process of analyzing the data from different perspectives and summarizing it into useful information. This can be used to increase the revenue, decreases the costs, or can be used to satisfy both. The software for handking the process of data mining allows the users to analyze data from many different dimensions or angles, categorize it, and summarize the relationships that the user has identified.

In the view of technology or technically, the data mining is referred to as the process of finding correlations or patterns among dozens of fields in the large relational databases. So to access and approve or to use the process there are many forms of the analysis. Some of the common forms of data-mining analysis include :

a) Cluster analysis
b) Association detection
c) Statistical analysis

The detailed description can be found below :

a) Cluster analysis :

It is a form of technique that is used to divide an information set into mutually exclusive groups such that the members of each group are as close together as possible to one another and that the different groups are as far apart as possible. In an easier way it can be said as the process og seggregating the data based on the type of the groups that each member belongs to.

In the daily world the Customer Relation Management (CRM) systems fairly depends on teh process cluster analysis so as to segment the customer information and identify the respective behavioral traits.

This process can be achieved in various ways of which some of them are as follows :

Partitioning Method
Hierarchical Method
Density-based Method
Grid-Based Method

b) Association detection :

This generally reveals the degree to which variables are related and the nature and frequency of these relationships in the information. This could be considered as the intermediate or an simple step where the groups that are seggregated could be associated.

c) Statistical analysis :

In this the process performs some of the functions as information correlations, distributions, calculations, and variance analysis. This could be called as the final or the resultant step where the aggregated data is present to the user based on the requirement.

Hope this is helpful.