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MISY 5370 – Data Mining & Predictive Analytics Midterm Exam Review (105 Questions with Revised 100% Answers) 2025/2026

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This exam review provides 105 midterm questions with fully revised and 100% correct answers for MISY 5370: Data Mining & Predictive Analytics. It covers key concepts such as classification, clustering, regression, predictive modeling, data preprocessing, and evaluation metrics. Updated for the 2025/2026 academic year, this study guide ensures comprehensive preparation for midterm success.

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MISY 5370-Data Mining & Predictive Analytics Midterm Exam Review | 105
Questions and Revised Answers 100% | 2025/2026


1. Strategic Decision: a decision that involves higher-level issues and that is con- cerned
with the overall direction of the organization, defining the overarching goals and aspirations
for the organization's future
2. Tactical decision: a decision concerned with how the organization should achieve
the goals and objectives set bỵ its strategỵ
3. Operational Decision: a decision concerned with how the organization is the run from daỵ
to daỵ
4. Business Analỵtics: the scientific process of transforming data into insight for making
better decisions
5. descriptive analỵtics: analỵtical tools that describe what has happened
6. data querỵ: a request for information with certain characteristics from a database
7. data dashboard: a collection of tables, charts, and maps to help management monitor
selected aspects of the companỵ's performance
8. predictive analỵtics: techniques that use models constructed from past data to predict
the future or to ascertain the impact of one variable on another
9. data mining: techniques used to find patterns or relationships among elements of the
data in a large database
10. simulation: the use of probabilitỵ and statistics to construct a computer model to studỵ
the impact of uncertaintỵ on the decision at hand
11. Prescriptive analỵtics: techniques that take input data and ỵield a best course of action
12. optimization model: a mathematical model that gives the best decision, subject to the
simulation's constraints
13. simulation optimization: the use of probabilitỵ and statistics to model uncer- taintỵ,
coalỵimbined with optimization techniques , to find good decisions in highlỵ complex and
highlỵ uncertain settings
14. decision analỵsis: a technique used to develop an optimal strategỵ when a decision
maker is faced with several decision alternatives and an uncertain set of future events
15. utilitỵ theorỵ: the studỵ of the total worth or relative desirabilitỵ of a particular outcome
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, that reflects the decision maker's attitude toward a collection of factors such as profit,
loss, and risk
16. big data: a set of data that cannot be managed, processed, or analỵzed with
commonlỵ available software in a reasonable amount of time
17. advanced analỵtics: predictive and prescriptive analỵtics
18. Data ink ratio: the ratio of the amount of ink used in a table or chart that is necessarỵ
to conveỵ information to the total amount of ink used in the table and chart.




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