Database Systems: Design, Implementation, Management, Loose-leaf Version
Database Systems: Design, Implementation, Management, Loose-leaf Version
12th Edition
ISBN: 9781305866799
Author: Coronel, Carlos; Morris, Steven
Publisher: Course Technology
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Chapter 14, Problem 19RQ
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.

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