Database Systems: Design, Implementation, & Management
11th Edition
ISBN: 9781285196145
Author: Steven, Steven Morris, Carlos Coronel, Carlos, Coronel, Carlos; Morris, Carlos Coronel and Steven Morris, Carlos Coronel; Steven Morris, Steven Morris; Carlos Coronel
Publisher: Cengage Learning
expand_more
expand_more
format_list_bulleted
Concept explainers
Expert Solution & Answer
Chapter 13, Problem 23RQ
Explanation of Solution
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...
Expert Solution & Answer
Want to see the full answer?
Check out a sample textbook solutionStudents have asked these similar questions
Differentiate the purpose of OLAP in descriptive analytics.
Explain the concept of "Big Data" and its three key characteristics. Provide examples of industries that benefit from big data analytics.
Explain the importance of scalability in big data analytics.
Chapter 13 Solutions
Database Systems: Design, Implementation, & Management
Ch. 13 - Prob. 1RQCh. 13 - Prob. 2RQCh. 13 - Prob. 3RQCh. 13 - Prob. 4RQCh. 13 - Prob. 5RQCh. 13 - What is a data warehouse, and what are its main...Ch. 13 - Prob. 7RQCh. 13 - Prob. 8RQCh. 13 - Prob. 9RQCh. 13 - Prob. 10RQ
Ch. 13 - Prob. 11RQCh. 13 - Prob. 12RQCh. 13 - Prob. 13RQCh. 13 - Prob. 14RQCh. 13 - Prob. 15RQCh. 13 - Prob. 16RQCh. 13 - Prob. 17RQCh. 13 - Prob. 18RQCh. 13 - Prob. 19RQCh. 13 - Prob. 21RQCh. 13 - Prob. 22RQCh. 13 - Prob. 23RQCh. 13 - Prob. 24RQCh. 13 - Prob. 25RQCh. 13 - What is the SQL command to list the total sales by...Ch. 13 - What is the SQL command to list the total sales by...Ch. 13 - What is the SQL command to list the total sales by...Ch. 13 - What is the SQL command to list the total sales by...Ch. 13 - What is the SQL command to list the number of...Ch. 13 - What is the SQL command to list the number of...Ch. 13 - What is the SQL command to list the number of...Ch. 13 - Using the answer to Problem 10 as your base, what...
Knowledge Booster
Learn more about
Need a deep-dive on the concept behind this application? Look no further. Learn more about this topic, computer-science and related others by exploring similar questions and additional content below.Similar questions
- Explain the role of data preprocessing in preparing data for big data analytics.arrow_forwardExplain the difference between data analysts, data scientists and business users of data analytics. Explain why the study of analytics is important.arrow_forwardExplain data types from a data analytics perspective and discuss big data characteristicsarrow_forward
- Explain the purpose and use of OLAP (Online Analytical Processing) in data warehousing. Provide examples of scenarios where OLAP is beneficial.arrow_forwardExplain predictive analytics and provide an example of its use.arrow_forwardExplain the concept of CRM analytics and how it helps organizations make data-driven decisions.arrow_forward
- Explain the importance of data analytics in IoT applications. Provide a real-world example.arrow_forwardcomputer science - Describe how viewpoint analytics are used to support descriptive and predictive analytics.arrow_forwardExplain the concept of data mining in the context of big data analytics, and provide examples of real-world applications.arrow_forward
arrow_back_ios
SEE MORE QUESTIONS
arrow_forward_ios
Recommended textbooks for you
- Fundamentals of Information SystemsComputer ScienceISBN:9781337097536Author:Ralph Stair, George ReynoldsPublisher:Cengage Learning
Fundamentals of Information Systems
Computer Science
ISBN:9781337097536
Author:Ralph Stair, George Reynolds
Publisher:Cengage Learning