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The basic idea behind a ________ is that it recursively divides a training set until each division consists entirely or primarily of examples from one class.

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In data mining,finding an affinity of two products to be commonly together in a shopping cart is known as


A) association rule mining.
B) cluster analysis.
C) decision trees.
D) artificial neural networks.

E) B) and C)
F) All of the above

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Which broad area of data mining applications partitions a collection of objects into natural groupings with similar features?


A) associations
B) visualization
C) classification
D) clustering

E) All of the above
F) B) and C)

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The entire focus of the predictive analytics system in the Infinity P&C case was on detecting and handling fraudulent claims for the company's benefit.

A) True
B) False

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In the Cabela's case study,the SAS/Teradata solution enabled the direct marketer to better identify likely customers and market to them based mostly on external data sources.

A) True
B) False

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In the cancer research case study,data mining algorithms that predict cancer survivability with high predictive power are good replacements for medical professionals.

A) True
B) False

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Identifying and preventing incorrect claim payments and fraudulent activities falls under which type of data mining applications?


A) insurance
B) retailing and logistics
C) customer relationship management
D) computer hardware and software

E) A) and C)
F) C) and D)

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In the data mining in Hollywood case study,how successful were the models in predicting the success or failure of a Hollywood movie?

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The researchers claim that these prediction results are better than any reported in the published literature for this problem domain.Fusion classification methods attained up to 56.07% accuracy in correctly classifying movies and 90.75% accuracy in classifying movies within one category of their actual category.The SVM classification method attained up to 55.49% accuracy in correctly classifying movies and 85.55% accuracy in classifying movies within one category of their actual category.

Interval data is a type of numerical data.

A) True
B) False

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Which broad area of data mining applications analyzes data,forming rules to distinguish between defined classes?


A) associations
B) visualization
C) classification
D) clustering

E) B) and D)
F) A) and D)

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C

Market basket analysis is a useful and entertaining way to explain data mining to a technologically less savvy audience,but it has little business significance.

A) True
B) False

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Third party providers of publicly available datasets protect the anonymity of the individuals in the data set primarily by


A) asking data users to use the data ethically.
B) leaving in identifiers (e.g., name) , but changing other variables.
C) removing identifiers such as names and social security numbers.
D) letting individuals in the data know their data is being accessed.

E) A) and B)
F) A) and C)

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C

Patterns have been manually ________ from data by humans for centuries,but the increasing volume of data in modern times has created a need for more automatic approaches.

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In the terrorist funding case study,an observed price ________ may be related to income tax avoidance/evasion,money laundering,or terrorist financing.

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Fayyad et al.(1996)defined ________ in databases as a process of using data mining methods to find useful information and patterns in the data.

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Ratio data is a type of categorical data.

A) True
B) False

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There has been an increase in data mining to deal with global competition and customers' more sophisticated ________ and wants.

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The data field "salary" can be best described as


A) nominal data.
B) interval data.
C) ordinal data.
D) ratio data.

E) A) and B)
F) All of the above

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Which data mining process/methodology is thought to be the most comprehensive,according to kdnuggets.com rankings?


A) SEMMA
B) proprietary organizational methodologies
C) KDD Process
D) CRISP-DM

E) B) and C)
F) A) and D)

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Using data mining on data about imports and exports can help to detect tax avoidance and money laundering.

A) True
B) False

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