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Database Systems: Design, Implemen...

12th Edition
Carlos Coronel + 1 other
Publisher: Cengage Learning
ISBN: 9781305627482

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BuyFindarrow_forward

Database Systems: Design, Implemen...

12th Edition
Carlos Coronel + 1 other
Publisher: Cengage Learning
ISBN: 9781305627482
Chapter 14, Problem 19RQ
Textbook Problem
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Describe and contrast the focus of data mining and predictive analytics. Give some examples.

Program Plan Intro

Data mining:

Data mining is a tool for analyzing massive amount of data to uncover hidden trends, patterns, and relationships to form computer model.

  • • It is used for analyzing the data from different views and shortened into the useful information.
  • • In other words, it can be said data mining is a process that helps in finding patterns or correlations between multiple fields in severe relational databases.
  • • For example, a data mining tool could be used to examine customer purchase past data.

Predictive analytics:

  • • Predictive analysis is focuses on predicting outcomes of future data with a high degree of accuracy.
  • • It creates advanced model for end user using statistical tool. The tool answers questions about future data occurrences.
  • • For example, a predictive model could be used to forecast future customer behavior, such as a customer response to a target marketing campaign.

Explanation of Solution

Differences between data mining and predictive analytics:

Data miningPredictive analytics
It is the process of identifying the hidden patterns of data using mining tools and algorithms.It is the process of applying business knowledge to the discovered patterns to make predictions.
It emphases on answering the how, and what of past data.It emphases on making actionable models to predict future events and behaviors...

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