Question

Types of info obtainable from data mining:

Answer 1

Data mining involves discovering patterns and extracting useful information from large datasets. Types of information obtainable through data mining include association rules, classification, clustering, regression, and anomaly detection.

Step-by-step explanation:

Data mining is a process of discovering patterns and extracting useful information from large datasets. There are several types of information that can be obtained through data mining. These include:

1. Association rules: These identify patterns or relationships between items in a dataset. For example, in a supermarket dataset, data mining can reveal that customers who buy bread are also likely to buy butter.
2. Classification: This involves categorizing data into predefined classes or groups based on its attributes. For instance, data mining can be used to classify emails as spam or non-spam based on their content.
3. Clustering: This groups similar data points together based on their characteristics. For example, data mining can cluster customers into different groups based on their purchasing behavior.
4. Regression: This predicts numerical values based on historical data. For instance, data mining can be used to predict the price of a house based on its features and the prices of similar houses.
5. Anomaly detection: This identifies unusual patterns or outliers in a dataset. For example, data mining can detect fraudulent transactions in a credit card dataset.