All of the following statements are true of mining minerals from the ocean EXCEPT: a. Mining for deep-water deposits is just as easy as mining for continental shelf deposits. c. Minerals can be found in even the deepest parts of the ocean. b. Petroleum and oil can be mined from the continental shelf. d. Valuable minerals such as diamonds and gold can be found in deep-water deposits.All of the following statements about data mining are true EXCEPT asked Jun 7, 2016 in Business by Bianca A) the process aspect means that data mining should be a one-step process to results.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. B) the novel aspect means that previously unknown patterns are discovered.Q. Business analytics and data mining provided 1-800-Flowers with all of the following benefits except: answer choices A) More efficient marketing campaigns.All of the following are types of data mining except ______. a) selective data mining b) query-driven data mining c) model-driven data mining d) rule-based data mining
All of the following statements about data mining are true
Which of the following is a true statement about data mining? a. Data mining can uncover previously unsuspected patterns in the data. b. Marketers require the assistance of statisticians to get information from data mining routines. c. Data mining routines were developed specifically to deal with the massive amounts of data available from theQuestion 1 All of the following statements about data mining are true EXCEPT: The ideas behind it are relatively new. 5 points Question 2 Prediction problems where the variables have numeric values are most accurately defined as regressions. 5 points Question 3 In the Influence Health case study, what was the goal of the system? increasing service use 5 points Question 4 Which data miningAll 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. B) the novel aspect means that previously unknown patterns are discovered. C) the potentially useful aspect means that results should lead to some business benefit.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. B) the novel aspect means that previously unknown patterns are discovered. C) the potentially useful aspect means that results should lead to some business benefit. D) the valid aspect means that the discovered patterns should hold true on new
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31) All of the following statements about data mining are true EXCEPT . A) understanding the business goal is critical. B) understanding the data, e.g., the relevant variables, is critical to success. C) building the model takes the most time and effort. D) data is typically preprocessed and/or cleaned before use.All of the following statements about data mining are true EXCEPT 1-understanding the business goal is critical. 2- understanding the data, e.g., the relevant variables, is critical to success. 3- building the model takes the most time and effort. 4- data is typically preprocessed and/or cleaned before use.All of the following statements about data mining are true EXCEPT: The ideas behind it are relatively new. Data is the main ingredient for any BI, data science, and business analytics initiative.All of the following statements about data mining are true EXCEPT A) understanding the business goal is critical. B) understanding the data, e.g., the relevant variables, is critical to success. C) building the model takes the most time and effort. D) data is typically preprocessed and/or cleaned before use.23) 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. B) the novel aspect means that previously unknown patterns are discovered. C) the potentially useful aspect means that results should lead to some business benefit.
31) All of the following statements about data mining are true EXCEPT
A) figuring out the trade function is significant.
B) understanding the data, e.g., the related variables, is important to luck.
C) building the type takes the most time and effort.
D) data is typically preprocessed and/or wiped clean before use.
32) Which data mining procedure/method is considered the maximum complete, in step with kdnuggets.com ratings?
A) SEMMA
B) proprietary organizational methodologies
C) KDD Process
D) CRISP-DM
33) Prediction problems where the variables have numeric values are maximum appropriately defined as
A) classifications.
B) regressions.
C) associations.
D) computations.
34) What does the robustness of a data mining way confer with?
A) its skill to predict the end result of a in the past unknown data set accurately
B) its pace of computation and computational costs in the usage of the mode
C) its ability to build a prediction fashion efficiently given a large amount of data
D) its talent to conquer noisy data to make somewhat correct predictions
35) What does the scalability of a data mining means consult with?
A) its skill to are expecting the end result of a prior to now unknown data set correctly
B) its speed of computation and computational costs in the use of the mode
C) its ability to build a prediction style successfully given a large amount of data
D) its talent to overcome noisy data to make somewhat accurate predictions
36) In estimating the accuracy of data mining (or other) classification fashions, the true certain price is
A) the ratio of as it should be categorised positives divided by means of the overall sure count.
B) the ratio of as it should be classified negatives divided by way of the total detrimental rely.
C) the ratio of accurately labeled positives divided through the sum of as it should be categorised positives and incorrectly labeled positives.
D) the ratio of correctly categorised positives divided by means of the sum of correctly categorized positives and incorrectly labeled negatives.
37) In data mining, finding an affinity of two merchandise to be frequently together in a buying groceries cart is known as
A) affiliation rule mining.
B) cluster analysis.
C) determination timber.
D) artificial neural networks.
38) Third celebration providers of publicly available datasets protect the anonymity of the people in the data set basically through
A) asking data users to make use of the data ethically.
B) leaving in identifiers (e.g., title), however converting different variables.
C) eliminating identifiers such as names and social safety numbers.
D) letting people in the data know their data is being accessed.
39) In the Target case learn about, why did Target send a teen maternity ads?
A) Target's analytic model confused her with an older lady with a an identical identify.
B) Target was sending ads to all ladies in a selected neighborhood.
C) Target's analytic fashion urged she used to be pregnant in response to her purchasing habits.
D) Target was once the use of a special promotion that targeted all teenagers in her geographical house.
40) Which of the following is a data mining delusion?
A) Data mining is a multistep process that requires deliberate, proactive design and use.
B) Data mining calls for a separate, devoted database.
C) The present state-of-the-art is able to go for nearly any business.
D) Newer Web-based gear allow managers of all educational levels to do data mining.
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