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Misy5370-Data Mining & Predictive Analytics Midterm Exam With Solutions 2025/2026

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MISY5370-DATA MINING & PREDICTIVE ANALYTICS MIDTERM EXAM WITH SOLUTIONS 2025/2026

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MISY5370-DATA MINING & PREDICTIVE
ANALYTICS MIDTERM EXAM WITH SOLUTIONS
2025/2026



Parallel coordinates plot-correct-answer-a graphical presentation used to examine
more than two variables in which each variable is represented by a different
vertical axis




treemap-correct-answer-a graphical presentation that is useful for visualizing
hierarchical data along multiple dimensions.




geographical information system-correct-answer-a system that merges maps and
statistics to present data collected over different geographies




data dashboard-correct-answer-a data visualization tool that updates in real time
and gives multiple outputs




key performance indicators-correct-answer-a metric that is crucial for
understanding the current performance of an organization

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Observation-correct-answer-a set of observed values of variables associated with
a single entity, often displayed as a row in a spreadsheet or database




supervised learning-correct-answer-category of data-mining techniques in which
an algorithm learns how to predict or classify an outcome variable of interest




prediction-correct-answer-estimating the value of a continuous outcome variable




classification-correct-answer-estimating the value of a categorical outcome
variable




unsupervised learning-correct-answer-category of data-mining techniques in
which an algorithm explains relationships without an outcome variable to guide
the process.




dimension reduction-correct-answer-process of reducing the number of variables
to consider in the data mining approach

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hierarchical clustering-correct-answer-process of agglomerating observations into
a series of nested groups based on a measure of similarity




k-means clustering-correct-answer-process of organizing observations into one of
k groups based on a measure of similarity




eucidean distance-correct-answer-geometric measure of dissimilarity between
observations based on pythagorean theorem




matching coefficient-correct-answer-measure of similarity between observations
consisting solely of categorical variables




jaccard's coefficient-correct-answer-measure of similarity between observations
consisting solely of binary categorical variables that considers only matches of
non-zero entries




single linkage-correct-answer-measure of calculating dissimilarity between
clusters by considering only the two closest observations in the two clusters

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