Question

In data mining, which of the following involves recognizing patterns that describe the group to which an item belongs by examining existing items and inferring a set of rules? a) . Forecasting b) . Clustering c) . Associations d) Sequences e) . Classifications

Answer 1

In data mining, classification recognizes patterns to infer rules that describe which group an item belongs to. It involves categorizing items into predefined classes based on their attributes, like spam filtering in emails.

Step-by-step explanation:

In data mining, the process of recognizing patterns that describe the group to which an item belongs by examining existing items and inferring a set of rules is known as classification. Classification tasks are used to categorize items into predefined classes or groups based on their attributes, helping in making predictions about the data. The items are analyzed to infer a set of decision rules that can be applied to unclassified items to determine their class membership.

Consider, for instance, an email application that uses classification to determine if incoming messages are 'spam' or 'not spam.' By analyzing the characteristics of known spam and non-spam emails, it can classify new emails accordingly. Moreover, classification is crucial in many fields such as finance for credit scoring, biology for disease prediction, and social media for sentiment analysis, etc.

Answer 2

The correct answer is c) Associations. In data mining, associations involve recognizing patterns that describe the group to which an item belongs.

Step-by-step explanation:

The correct answer is c) Associations. In data mining, associations involve recognizing patterns that describe the group to which an item belongs. This is done by examining existing items and inferring a set of rules. For example, in retail, associations can be used to identify the items that are frequently purchased together, such as milk and cereal.