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The data field "ethnic group" can be best described as
a. Nominal data
Converting continuous valued numerical variables to
ranges and categories is referred to as discretization.
a. True
Clustering partitions a collection of things into segments
whose members share
a. Similar characteristics
A data mining study is specific to addressing a welldefined business task, and different business tasks require
a. Different sets of data
Which of the following is a data mining myth?
a. Data mining requires a separate, dedicated
database.
In the Target case study, why did Target send a teen
maternity ads?
a. Target's analytic model suggested she was
pregnant based on her buying habits.
Data that is collected, stored, and analyzed in data mining
is often private and personal. There is no way to maintain
individuals' privacy other than being very careful about
physical data security.
a. false
All of the following statements about data mining are true
EXCEPT
a. the process aspect means that data mining
should be a one-step process to results.
What does the robustness of a data mining method refer
to?
a. its ability to overcome noisy data to make
somewhat accurate predictions
What is the main reason parallel processing is sometimes
used for data mining?
a. because of the massive data amounts and
search efforts involved
Third party providers of publicly available data sets
protect the anonymity of the individuals in the data set
primarily by
a. removing identifiers such as names and
social security numbers.
What does the scalability of a data mining method refer
to?
a. its ability to construct a prediction model
efficiently given a large amount of data
Which data mining process/methodology is thought to be
the most comprehensive, according to kdnuggets.com
rankings?
a. CRISP-DM
Which broad area of data mining applications partitions a
collection of objects into natural groupings with similar
features?
a. Clustering
In the terrorist funding case study, an observed price
________ may be related to income tax
avoidance/evasion, money laundering, or terrorist
financing.
a. Deviation
16. Understanding customers better has helped Amazon and
others become more successful. The understanding
comes primarily from
a. analyzing the vast data amounts routinely
collected.
17. In estimating the accuracy of data mining (or other)
classification models, the true positive rate is
a. the ratio of correctly classified positives
divided by the total positive count.
18. The data mining in cancer research case study explains
that data mining methods are capable of extracting
patterns and ________ hidden deep in large and complex
medical databases.
a. Relationships
19. In the Influence Health case study, what was the goal of
the system?
a. Increasing service use
20. Prediction problems where the variables have numeric
values are most accurately defined as
a. Regressions
21. Which broad area of data mining applications analyzes
data, forming rules to distinguish between defined
classes?
a. Classification
22. All of the following statements about data mining are true
EXCEPT:
a. The ideas behind it are relatively new.
23. In the cancer research case study, data mining algorithms
that predict cancer survivability with high predictive
power are good replacements for medical professionals.
a. False
24. Identifying and preventing incorrect claim payments and
fraudulent activities falls under which type of data mining
applications?
a. Insurance
25. In data mining, finding an affinity of two products to be
commonly together in a shopping cart is known as
a. Association rule mining