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Modern Database Management (12th Edition)
12th Edition
ISBN: 9780133544619
Author: Jeffrey A. Hoffer, Ramesh Venkataraman, Heikki Topi
Publisher: PEARSON
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Chapter 11, Problem 11.27RQ
Program Plan Intro
To describe:
The
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explanations in great detail from the perspective of both predictive and descriptive analytics
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Chapter 11 Solutions
Modern Database Management (12th Edition)
Ch. 11 - Prob. 11.1RQCh. 11 - Prob. 11.2RQCh. 11 - Prob. 11.3RQCh. 11 - Prob. 11.4RQCh. 11 - Prob. 11.5RQCh. 11 - What are the two main categories of technologies...Ch. 11 - Prob. 11.7RQCh. 11 - Prob. 11.8RQCh. 11 - Prob. 11.9RQCh. 11 - Prob. 11.10RQ
Ch. 11 - Prob. 11.11RQCh. 11 - Prob. 11.12RQCh. 11 - Prob. 11.13RQCh. 11 - Prob. 11.14RQCh. 11 - Prob. 11.15RQCh. 11 - Prob. 11.16RQCh. 11 - Prob. 11.17RQCh. 11 - Prob. 11.18RQCh. 11 - Prob. 11.19RQCh. 11 - Prob. 11.20RQCh. 11 - Prob. 11.21RQCh. 11 - Prob. 11.22RQCh. 11 - Prob. 11.23RQCh. 11 - Prob. 11.24RQCh. 11 - Prob. 11.25RQCh. 11 - Prob. 11.26RQCh. 11 - Prob. 11.27RQCh. 11 - Prob. 11.28RQCh. 11 - Describe the core idea underlying in-database...Ch. 11 - Prob. 11.30RQCh. 11 - Prob. 11.31RQCh. 11 - Prob. 11.32PAECh. 11 - Prob. 11.33PAECh. 11 - Prob. 11.34PAECh. 11 - Prob. 11.35PAECh. 11 - Prob. 11.36PAECh. 11 - Prob. 11.37PAECh. 11 - Prob. 11.38PAECh. 11 - Prob. 11.39PAECh. 11 - Prob. 11.40PAECh. 11 - Prob. 11.41PAECh. 11 - Prob. 11.42PAECh. 11 - Prob. 11.43PAECh. 11 - Prob. 11.44PAECh. 11 - Problems and Exercises 11-22 through 11-28 are...Ch. 11 - Prob. 11.46PAECh. 11 - Prob. 11.47PAE
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- OLAP usage in descriptive analytics must be explained.arrow_forwardThe utilisation of Online Analytical Processing (OLAP) in the context of descriptive analytics necessitates elucidation.arrow_forwardDescribe the mechanism through which perspective analytics is dependent on descriptive and predictive analytics.arrow_forward
- It is critical to define OLAP's function in descriptive analytics.arrow_forwardParaphrase this one. Make it 130 words. Predictive analytics is the process of using data to forecast future outcomes. The process uses data analysis, machine learning, artificial intelligence, and statistical models to find patterns that might predict future behavior. Organizations can use historic and current data to forecast trends and behaviors seconds, days, or years into the future with a great deal of precision. These forecasts cover a wide range of circumstances, from near-term events like the possibility of a machinery component malfunctioning later in the day to more distant events like the forecast of your company's revenue for the upcoming year. Predictive analysis can be performed either manually or by using methods based on machine learning. In both methods, predictions for the future are derived from an analysis of the past.arrow_forwardIt is crucial to define OLAP's function in descriptive analytics.arrow_forward
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