DATA MINING CONCEPTS AND
TECHNIQUES 4TH ED ACTUAL EXAM PAPER
2026 QUESTIONS WITH SOLUTIONS
GRADED A+
◉ What recent factors have increased the popularity of data mining?
Answer: increased competition on a global scale, exponential
increase in data processing & storage technologies, reduction of cost
of hardware and software for data storage & processing
◉ Is data mining a new discipline?
Answer: No. Many of the techniques of data mining have their roots
in statistical and artificial intelligence work from the 1980s
◉ What are some major data mining methods and algorithms?
Answer: The most common data mining methods include prediction,
association and segmentation.
◉ What are key differences between the major data mining tasks?
, Answer: Prediction: the act of telling about the future. It differs from
simple guessing by taking into account the experiences, opinions,
and other relevant information in conducting the task of foretelling.
A term that is commonly associated with prediction is forecasting.
Even though many believe that these two terms are synonymous,
there is a subtle but critical difference between the two. Whereas
prediction is largely experience and opinion based, forecasting is
data and model based. That is, in order of increasing reliability, one
might list the relevant terms as guessing, predicting, and forecasting,
respectively. In data mining terminology, prediction and forecasting
are used synonymous, and the term prediction is used as the
common representation of the act.
◉ What are the major application areas for data mining?
Answer: Retail, Banking, Education, Insurance, Criminal
Investigation
◉ Can you think of other application areas for data mining not
discussed in this section?
Answer: Agriculture: it could be used to forecast conditions affecting
the growth or health of the plants such as weather, insects, etc.
◉ What are the major data mining processes?
Answer: Similar to other information systems initiatives, a data
mining project must follow a systematic project management
TECHNIQUES 4TH ED ACTUAL EXAM PAPER
2026 QUESTIONS WITH SOLUTIONS
GRADED A+
◉ What recent factors have increased the popularity of data mining?
Answer: increased competition on a global scale, exponential
increase in data processing & storage technologies, reduction of cost
of hardware and software for data storage & processing
◉ Is data mining a new discipline?
Answer: No. Many of the techniques of data mining have their roots
in statistical and artificial intelligence work from the 1980s
◉ What are some major data mining methods and algorithms?
Answer: The most common data mining methods include prediction,
association and segmentation.
◉ What are key differences between the major data mining tasks?
, Answer: Prediction: the act of telling about the future. It differs from
simple guessing by taking into account the experiences, opinions,
and other relevant information in conducting the task of foretelling.
A term that is commonly associated with prediction is forecasting.
Even though many believe that these two terms are synonymous,
there is a subtle but critical difference between the two. Whereas
prediction is largely experience and opinion based, forecasting is
data and model based. That is, in order of increasing reliability, one
might list the relevant terms as guessing, predicting, and forecasting,
respectively. In data mining terminology, prediction and forecasting
are used synonymous, and the term prediction is used as the
common representation of the act.
◉ What are the major application areas for data mining?
Answer: Retail, Banking, Education, Insurance, Criminal
Investigation
◉ Can you think of other application areas for data mining not
discussed in this section?
Answer: Agriculture: it could be used to forecast conditions affecting
the growth or health of the plants such as weather, insects, etc.
◉ What are the major data mining processes?
Answer: Similar to other information systems initiatives, a data
mining project must follow a systematic project management
