Here is Market Basket data for 1,000 transactions at a Drug Store. Use the table below to answer the following questions. \[\begin{array} { | l | c | c | c | } \hline { \begin{array} { c } \text { 1,000 } \\ \text { Transactions } \end{array} } & \begin{array} { c } \text { Drug A } \\ 500 \end{array} & \begin{array} { c } \text { Drug B } \\ 300 \end{array} & \begin{array} { c } \text { Drug C } \\ 200 \end{array} \\ \hline \text { Drug A } & 75 & 100 & 125 \\ \hline \text { Drug B } & 100 & 25 & 75 \\ \hline \text { Drug C } & 125 & 75 & 0 \\ \hline \text { No Additional Drug } & 200 & 100 & 0 \\ \hline \end{array}\] -Refer to the table above.What is the definition of support for Drug A and Drug B?

A) The probability that Drug A will be purchased B) The probability that Drug B will be purchased C) The probability that both Drug A and Drug B will be purchased D) The probability that Drug A will be purchased given that Drug B has been purchased E) The probability that Drug B will be purchased given that Drug A has been purchased A) The probability that Drug A will be purchased B) The probability that Drug B will be purchased C) The probability that both Drug A and Drug B will be purchased D) The probability that Drug A will be purchased given that Drug B has been purchased E) The probability that Drug B will be purchased given that Drug A has been purchased

A) Online Analytical Processing. B) Offline Analytical Processing. C) Online Analysis Process. D) Offline Analysis Process. E) Old, Lazy And Particular. A) Online Analytical Processing. B) Offline Analytical Processing. C) Online Analysis Process. D) Offline Analysis Process. E) Old, Lazy And Particular.

Exam 17: Getting Started With Web Servers, php, and the Netbeans IDE

BI reporting systems summarize the current status of business activities and compare that status with past events but not with predicted future activities.

(True/False)

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Question 21

Problematic data are called ________.

(Essay)

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Question 22

Market basket analysis is:

(Multiple Choice)

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Question 23

________ is a way of analyzing and ranking customers based on their purchasing patterns.

(Short Answer)

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Question 24

In RFM analysis,R stands for ________.

(Short Answer)

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Question 25

Which of the following are true about data mining applications?

(Multiple Choice)

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Question 26

In market basket analysis,support is defined as the probability that two items will be purchased together.

(True/False)

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Question 27

Reports that rely on the most current data when they are prepared are called dynamic reports.

(True/False)

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Question 28

Business Intelligence (BI)reporting systems are used to filter data,sort data,group data and make simple calculations based on the data.

(True/False)

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Question 29

A(n)________ is a collection of data that addresses a particular component or functional area of a business.

(Short Answer)

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Question 30

A data mart is a collection of data that addresses a particular component or functional area of a business.

(True/False)

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Question 31

Business Intelligence (BI)systems obtain data in ________ different ways.

(Short Answer)

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Question 32

In supervised data mining,statistical techniques are used to estimate the parameters of the model.

(True/False)

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Question 33

In market basket analysis,lift is confidence divided by support.

(True/False)

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Question 34

Here is Market Basket data for 1,000 transactions at a Drug Store. Use the table below to answer the following questions. 1,000 Transactions Drug A 500 Drug B 300 Drug C 200 Drug A 75 100 125 Drug B 100 25 75 Drug C 125 75 0 No Additional Drug 200 100 0 -Refer to the table above.What is the definition of support for Drug A and Drug B?

(Multiple Choice)

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Question 35

In a common form of RFM analysis,customers with an F score of ________ are in the 20% of customers who have the most frequent orders.

(Short Answer)

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Question 36

Business Intelligence (BI)________ uses sophisticated statistical and mathematical techniques to perform what-if analyses,to make predictions,and to facilitate decision making.

(Short Answer)

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Question 37

OLAP stands for:

(Multiple Choice)

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Question 38

Reports that rely on the most current data when they are prepared are called ________ reports.

(Short Answer)

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Question 39

Business Intelligence (BI)reporting systems can analyze data using standard SQL.

(True/False)

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Question 40

Showing 21 - 40 of 98

BI reporting systems summarize the current status of business activities and compare that status with past events but not with predicted future activities.

Problematic data are called ________.

Market basket analysis is:

________ is a way of analyzing and ranking customers based on their purchasing patterns.

In RFM analysis,R stands for ________.

Which of the following are true about data mining applications?

In market basket analysis,support is defined as the probability that two items will be purchased together.

Reports that rely on the most current data when they are prepared are called dynamic reports.

Business Intelligence (BI)reporting systems are used to filter data,sort data,group data and make simple calculations based on the data.

A(n)________ is a collection of data that addresses a particular component or functional area of a business.

A data mart is a collection of data that addresses a particular component or functional area of a business.

Business Intelligence (BI)systems obtain data in ________ different ways.

In supervised data mining,statistical techniques are used to estimate the parameters of the model.

In market basket analysis,lift is confidence divided by support.

In a common form of RFM analysis,customers with an F score of ________ are in the 20% of customers who have the most frequent orders.

Business Intelligence (BI)________ uses sophisticated statistical and mathematical techniques to perform what-if analyses,to make predictions,and to facilitate decision making.

OLAP stands for:

Reports that rely on the most current data when they are prepared are called ________ reports.

Business Intelligence (BI)reporting systems can analyze data using standard SQL.

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