Unit 8
Which of the following is NOT an example of data mining? A retail clothing chain wants to know when and how to discount winter coats in a certain region of the country. A bank wants to know which customers to target for credit cards and loans. A grocery chain is interested in knowing its consumers' market baskets to better advertise, display items, and target these customers. A grocery store wants to store sales transactions to make taxes easier to file.
A grocery store wants to store sales transactions to make taxes easier to file.
Data mining is ______? A process of finding meaningful patterns in data to improve decisions A strategy for locating security software A means for transferring customer data into software A location in the cloud to store data securely
A process of finding meaningful patterns in data to improve decisions
Which of the following types of data can be used for data mining? All of these are used for data mining Transaction Data Surfing Data Emotions and Social Interaction Data Sensor Data
All of these are used for data mining
Which data mining methods uses an 'if' antecedent item set, 'then' consequent item set? Association rules Clustering analysis Corner box method Classification tree
Association rules
Which of these is a commonly used descriptive method? Association rules Critical analysis Corner box method Classification tree
Association rules
Which of the following was NOT one of the methods Tesco used to beat Wal-mart? Identified socio-economic groups of people likely to leave Tesco and targeted those customers Identified which items customers who were likely to leave Tesco mostly bought Avoided use of club cards which Tesco learned created confusion for customers Undercut Wal-mart on specific item prices to lower incentives for customers to switch
Avoided use of club cards which Tesco learned created confusion for customers
Which of these is a commonly used predictive method? Association rules Clustering analysis Corner box method Classification tree
Classification tree
___________________ is the process of identifying or discovering meaningful correlations, patterns, and trends using simple database queries and statistical and mathematical techniques. Data mining Correlation Reference statistics Mine craft
Data mining
Common _______ data mining methods include association rules and clustering analysis Predictive Classification Simplified Descriptive
Descriptive
There are two common types of methods used in data mining. What are those two methods? Inferential and substandard methods Descriptive and predictive methods Predictive and futuristic methods Declining and uplifting methods
Descriptive and predictive methods
Advanced Scout is data mining software used by the National Basketball Association (NBA) to understand which of these? Examine how to improve their website Predict their customers' favorite players Determine which NBA players perform best and identify how these players fair against various opponents Identify when to offer coupons to games
Determine which NBA players perform best and identify how these players fair against various opponents
Before beginning to conduct data mining, a business should do which of these? Focus on its business and data mining goals Select a top quality data mining expert to consult Hire a team of data mining experts to be on site Set one primary data mining goal and focus on that for one year
Focus on its business and data mining goals
In the Tesco case, which of the following as a finding that Tesco uncovered? More ethnic people bought diapers, while white people bought beer More ethnic people bought ethnic food, which was expected More white people bought diapers, while ethnic people bought beer More white people bought ethnic food, which was not expected
More white people bought ethnic food, which was not expected
Which of these methods uses variables to predict unknown or future values of the outcome? Descriptive Classification Simplified Predictive
Predictive
_______ methods are also used for understanding influences, predicting fraud, sensing market trends, analyzing the market basket, mining emotions, and more Descriptive Classification Simplified Predictive
Predictive
In the case of Tesco versus Wal-mart, what happened? Wal-mart was able to beat Tesco in Europe by embracing data mining Wal-mart was able to beat Tesco in Europe by increased data collection Tesco was able to beat Wal-mart in Europe by embracing data mining Tesco was able to beat Wal-mart in Europe by increased data collection
Tesco was able to beat Wal-mart in Europe by embracing data mining
Clustering is useful when which of these occurs? When there are variables associated with one another When there is a clear pattern that forms quickly There are many different dimensions to evaluate There is a single dimension for one variable to analyze
There are many different dimensions to evaluate
Which of these is NOT a common use of data mining? Identify the profiles of customers and what they buy Predict who is likely to be successful at a job Understand what products and services are bought together Transfer data from computers to servers
Transfer data from computers to servers
The government most likely uses data mining to do which of these? Predict weather patterns Uncover money laundering or terrorism related activities Find patterns between genes and diseases Make decisions about their products and discounts
Uncover money laundering or terrorism related activities
Which of the following was NOT one of the methods Tesco used to beat Wal-mart? Identified socio-economic groups of people who were likely to leave Tesco and those customers were targeted Identified which items customers who were likely to leave Tesco mostly bought Used coupons to attract customers to new and exciting products at Tesco Undercut Wal-mart on specific item prices to lower incentive for customers to switch
Used coupons to attract customers to new and exciting products at Tesco