All Related Questions of Data Mining

Q: What are the two categories of data mining and knowledge discovery software

What are the two categories of data mining and knowledge discovery software?

Q: What’s the best way to find out what your customers want?

What’s the best way to find out what your customers want? If you’re a large business with millions of customers, it’s impossible to ask each one face-to-face. But thanks to modern data management and...

Q: What’s the best way to find out what your customers want?

What’s the best way to find out what your customers want? If you’re a large business with millions of customers, it’s impossible to ask each one face-to-face. But thanks to modern data management and...

Q: With an ERP system, a company can develop a “storefront

With an ERP system, a company can develop a “storefront” on the Internet. Through its storefront connection with customers, the company can gather much information about the market and the demand for...

Q: How do the activities of data mining and predictive analytics work together

How do the activities of data mining and predictive analytics work together?

Q: Kroger Co., a large, nationwide grocery chain, maintains a

Kroger Co., a large, nationwide grocery chain, maintains a customer reward system titled the “Kroger Plus” card. Customers who enroll in this system are entitled to discounts on products at Kroger st...

Q: How is data mining different from data warehousing?

How is data mining different from data warehousing?

Q: How has Anheuser‐Busch used data warehousing and data mining successfully

How has Anheuser‐Busch used data warehousing and data mining successfully?

Q: Using Anheuser‐Busch’s BudNet example presented in this chapter, think

Using Anheuser‐Busch’s BudNet example presented in this chapter, think about the queries that might be valuable if a company like Gap, Inc., used data mining to monitor its customers’ buying behavior....

Q: Match the ERP modules on the left with their purpose of the

Match the ERP modules on the left with their purpose of the related processes on the right:

Q: Select the correct answer. /

Select the correct answer.

Q: Describe how data mining and a CRM system might be used by

Describe how data mining and a CRM system might be used by any of the managers depicted in Figure 10.1, a horizontal perspective of the OE/S process, or in Figure 10.2, a vertical perspective of the O...

Q: What distinguishes data mining from other statistical methods? What methods,

What distinguishes data mining from other statistical methods? What methods, in addition to those of statistics, are often used in data mining?

Q: In what types of situations would data mining be useful?

In what types of situations would data mining be useful?

Q: Describe and contrast the focus of data mining and predictive analytics.

Describe and contrast the focus of data mining and predictive analytics. Give some examples.

Q: How does data mining work? Discuss the different phases in the

How does data mining work? Discuss the different phases in the data mining process.

Q: As an internal auditor for CRA, Inc., you are assigned

As an internal auditor for CRA, Inc., you are assigned to a team working on an ongoing project to identify possible fraud. The project started with time trend analysis of purchase prices of all items...

Q: Your manager has read a couple of articles about data mining and

Your manager has read a couple of articles about data mining and artificial intelligence. He wants to use data mining to find the best customers. What would you suggest to structure this problem?

Q: With U.S. consumers becoming more environmentally conscious, there

With U.S. consumers becoming more environmentally conscious, there has been an explosion of eco-friendly products on the market. One notable entry has been the gas-electric hybrid car. A large nonprof...

Q: The production of wine is a multibillion-dollar worldwide industry.

The production of wine is a multibillion-dollar worldwide industry. In an attempt to develop a model of wine quality as judged by wine experts, data was collected from red wine variants of Portuguese...

Q: An automotive insurance company wants to predict which filed stolen vehicle claims

An automotive insurance company wants to predict which filed stolen vehicle claims are fraudulent, based on the mean number of claims submitted per year by the policy holder and whether the policy is...

Q: The production of wine is a multibillion-dollar worldwide industry.

The production of wine is a multibillion-dollar worldwide industry. In an attempt to develop a model of wine quality as judged by wine experts, data were collected from red wine variants of Portuguese...

Q: An automotive insurance company wants to predict which filed stolen vehicle claims

An automotive insurance company wants to predict which filed stolen vehicle claims are fraudulent, based on the number of claims submitted per year by the policy holder and whether the policy is a new...

Q: The data in the file BankMarketing are from a direct marketing campaign

The data in the file BankMarketing are from a direct marketing campaign conducted by a Portuguese banking institution. Source: Data extracted from S. Moro, R. Laureano, and P. Cortez, “Using Data Mini...

Q: Refer to Problem 14.5 on page 542. Perform a

Refer to Problem 14.5 on page 542. Perform a multiple regression analysis using the data in VinhoVerde and determine the VIF for each independent variable in the model. Is there reason to suspect the...

Q: Data Visualization: Stories for the Information Age At the intersection

Data Visualization: Stories for the Information Age At the intersection of art and algorithm, data visualization schematically abstracts information to bring about a deeper understanding of the data,...

Q: Explain data mining and identify the three elements of data mining.

Explain data mining and identify the three elements of data mining.

Q: Data mining of large data sets, frequently called Big Data,

Data mining of large data sets, frequently called Big Data, has become a big part of analyzing consumerrelated data that companies collect. Basically, data mining is a computational process of extract...

Q: Which of the following categories of business analytics builds and assesses algorithmic

Which of the following categories of business analytics builds and assesses algorithmic models aimed at making empirical rather than theoretical predictions and is designed to predict future observati...

Q: In Problem 14.5, you used the percentage of alcohol

In Problem 14.5, you used the percentage of alcohol and chlorides to predict wine quality (stored Vinho Verde). a. Plot the residuals versus Y^i; b. Plot the residuals versus X1i. c. Plot the residual...

Q: For each scenario listed below, identify the following: the type

For each scenario listed below, identify the following: the type of business analytics, the era of BI&A, the goal of data mining (if applicable), and whether and how big data and analytics have the po...

Q: Do you see any opportunities for data mining using the Fitchwood data

Do you see any opportunities for data mining using the Fitchwood data mart? Research data mining tools and recommend one or two for use with the data mart.

Q: Illustrate the goals of data mining and how they answer fundamental business

Illustrate the goals of data mining and how they answer fundamental business questions.

Q: Discuss why data mining applications are growing rapidly in business.

Discuss why data mining applications are growing rapidly in business.

Q: What is the difference between data mining and data warehousing?

What is the difference between data mining and data warehousing?

Q: The director of the MBA program at Salter dine University wants to

The director of the MBA program at Salter dine University wants to develop a procedure to determine which applicants to admit to the MBA program. The director believes that an applicantâ€&#...

Q: The manager of the commercial loan department for a bank wants to

The manager of the commercial loan department for a bank wants to develop a rule to use in determining whether or not to approve various requests for loans. The manager believes that three key charact...

Q: To graduate from Southeastern University with a major in operations research (

To graduate from Southeastern University with a major in operations research (OR), a student must complete at least three math courses, at least three OR courses, and at least two computer courses. So...

Q: Continuing the previous problem, the file P14_12.xlsx

Continuing the previous problem, the file P14_12.xlsx contains the same wine data. Using a Microsoft Data Mining add-in (not discussed here), a decision tree classification was performed (with 0% of t...

Q: Neural nets (and NeuralTools) can also be used when the

Neural nets (and NeuralTools) can also be used when the dependent variable is continuous, not categorical. In this case, the method is an alternative to multiple regression. The file P14_13.xlsx conta...

Q: The file P14_16.xlsx contains various data on 325

The file P14_16.xlsx contains various data on 325 metropolitan cities in the United States. Cell comments in row 1 explain some of the variables. A Microsoft Data Mining add-in (not discussed here) wa...

Q: The file contains the same wine data. Instead of trying to

The file contains the same wine data. Instead of trying to use a classification algorithm to classify wines into the three known types (A, B, and C), it is interesting to see if a clustering algorithm...

Q: Using the data in the file, the same data as in

Using the data in the file, the same data as in Problem 17, use the method in Example 14.5 to find three clusters of wine types. (Of course, don’t use the Type variable when creating clusters.) Write...

Q: The lasagna data discussed in the chapter is repeated in the file

The lasagna data discussed in the chapter is repeated in the file. Instead of trying to classify a dependent variable, Have Tried, this file shows the result of clustering. Specifically, a Microsoft D...

Q: The file contains Gender, Age, Education, and Success (

The file contains Gender, Age, Education, and Success (Yes/No) data of 1000 people. The purpose is to see how a classification tree method can use the first three variables to classify Success. You st...