MODERN DATABASE MGMT.(PEARSON CHANNEL)
13th Edition
ISBN: 9780136709299
Author: Hoffer
Publisher: PEARSON
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Chapter 11, Problem 11.5RQ
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Differentiation between descriptive, predictive and prescriptive analytics.
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Chapter 11 Solutions
MODERN DATABASE MGMT.(PEARSON CHANNEL)
Ch. 11 - Prob. 11.1RQCh. 11 - Prob. 11.2RQCh. 11 - Prob. 11.3RQCh. 11 - Prob. 11.4RQCh. 11 - Prob. 11.5RQCh. 11 - Prob. 11.6RQCh. 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 - Describe the core idea underlying in-database...Ch. 11 - Prob. 11.18RQCh. 11 - Prob. 11.19RQCh. 11 - Prob. 11.20PAECh. 11 - Prob. 11.21PAECh. 11 - Prob. 11.22PAECh. 11 - Prob. 11.23PAECh. 11 - Prob. 11.24PAECh. 11 - Prob. 11.25PAECh. 11 - Prob. 11.26PAECh. 11 - Prob. 11.27PAECh. 11 - Problems and Exercises 11-22 through 11-28 are...Ch. 11 - Prob. 11.29PAECh. 11 - Prob. 11.30PAE
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- Paraphrase 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_forwardComputer Science: Do Comparison of Tableau and SAS Visual Analyticsarrow_forwardexplain the difference between traditional approach and predictive approacharrow_forward
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