Discuss the basic statistical models used in descriptive data mining. What model could be used in your project? How? Why? Discuss the various predictive models for data mining. Provide a comprehensive answer. Identify which models are applicable for which types of predictive scenarios.
- Discuss the basic statistical models used in descriptive data mining.
- What model could be used in your project? How? Why?
- Discuss the various predictive models for data mining. Provide a comprehensive answer.
- Identify which models are applicable for which types of predictive scenarios.
Data Mining is the procedure to find an outline in a large present database by Artificial Intelligence, Statistics Modelling, and Machine Learning. The main purpose of the data mining process is to extract the information from a large data set and use this information for further use.
Descriptive Analytics:
Descriptive analytics is used to know what is happening inside the organization and understanding them (the trends and causes). The descriptive analytics is used for data combination and data mining that helps to understand and analyze the historical data (past events) and their causes.
Example:
Descriptive analytics examines the past electricity usage of the companies so that the electric department can plan the power needs and allow the electric companies to set appropriate prices.
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