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 13, Problem 23RQ

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Description of data mining and predictive analytics:

  • Data mining is a tool for analyzing the data.
    • 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.
  • Predictive analytics is one of the formats related to advanced data analytics used for predicting the future outputs with required efficiency.
    • It uses the different types of techniques to predict the future outputs of data by analyzing it.
    • The techniques include data mining, statistics, modeling, machine learning, artificial intelligence and many others.
    • It is used to improve the customer based service by predicting the requirements. For example, a hotel can predict the number of customers will accommodate on certain day or weekend...

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