Suppose that you are employed as a data mining consultant for an internet search engine company. describe how data mining can the company by giving specific examples of how techniques, such as clustering, classification, association rule mining and anomaly detection can be applied

Data mining techniques;

Clustering, Classification, Anomaly detection, Association rule mining etc.

Explanation:

An internet search engine is used by web browsers to give the exact, almost or closely related result as the inputted value.

It uses predictive data analysis to determine result. Data mining is used to extract and group data for the analysis to take place. Techniques is data mining are;

Clustering: this technique is used to arrange specific data to groups of similar data types called clusters.

Classification: every instance of a data type is relocated to a group. It is similar to clustering.

Association rule: it involves the use of machine learning to analyze the occurrence of a data in a database. The search engine uses this technique to give results based on most visited website.

Anomaly detection: this provides the search engine with the ability to detection website addresses that are malicious, specifying data that are abnormal.

given us,

principal (p)= Rs 1227

Time(t)= 9

Rate(r)= 6./.

Here,

simple interest= P×T×R/100

= 1227×9×6/100

= 66258/100

= 662.58

Explanation:

by using simple interest formula