area of data mining known as predictive modelling. We could use regression for this modelling, although researchers in many fields have developed a wide variety of techniques for predicting time series.

(g) Monitoring the heart rate of a patient for abnormalities.
(h) Monitoring seismic waves for earthquake activities.
(i) Extracting the frequencies of a sound wave.


(g) Yes. We would build a model of the normal behavior of heart
rate and raise an alarm when an unusual heart behavior occurred.
This would involve the area of data mining known as anomaly de-
tection. This could also be considered as a classification problem
if we had examples of both normal and abnormal heart behavior.
(h) Yes. In this case, we would build a model of different types of
seismic wave behavior associated with earthquake activities and
raise an alarm when one of these different types of seismic activity
was observed. This is an example of the area of data mining
known as classification.
(i) Extracting the frequencies of a sound wave.
No. This is signal processing.

Computer Science & Information Technology

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