Question 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. the process aspect means that data mining should be a one-step process to results. the novel aspect means that previously unknown patterns are discovered. the potentially useful aspect means that results should lead to some business benefit. the valid aspect means that the discovered patterns should hold true on new data.All of the following statements about data mining are true EXCEPT Select one: a. the valid aspect means that the discovered patterns should hold true on new data. b. the potentially useful aspect means that results should lead to some business benefit. c. the novel aspect means that previously unknown patterns are discovered.All of the following statements about data mining are true EXCEPT the novel aspect means that previously unknown patterns are discovered. the process aspect means that data mining should be a one-step process to results. the potentially useful aspect means that results should lead to some business benefit. the valid aspect means that the discovered patterns should hold true on new data. 10 points QUESTION 2 1.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
10) All of the following statements about data mining are true EXCEPT: A) The term is relatively new. Page 2 of 5 B) Its techniques have their roots in traditional statistical analysis and artificial intelligence.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.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 theAll of the following statements about the chart above are TRUE except: A. The number of representatives from New York decreased from 1972 to 2008. B. From 1972 to 2008, New York lost population while California and Texas grew larger. C. The number of representatives from California and Texas increased from 1972 to 2008. D.
ch 4 data mining Flashcards | Quizlet
All of the following statements are true about surface mining except Surface mining is the most hazardous type of mining for workers. Why are world energy requirements expected to continue to rise during the 21st centuryAll 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 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.a. It contributes to both water and air pollution. b. In terms of tonnage, it is the single greatest contributor to solid wastes. c. Its negative affects can be minimized by switching from sub-surface mining to surface mining. d. It disrupts wildlife habitats.
31) All of the following statements about data mining are true EXCEPT
A) working out the business goal is important.
B) working out the data, e.g., the relevant variables, is critical to good fortune.
C) development the model takes the maximum effort and time.
D) data is most often preprocessed and/or cleaned sooner than use.
32) Which data mining process/technique is thought to be the most comprehensive, in line with kdnuggets.com rankings?
A) SEMMA
B) proprietary organizational methodologies
C) KDD Process
D) CRISP-DM
33) Prediction issues where the variables have numeric values are maximum accurately outlined as
A) classifications.
B) regressions.
C) associations.
D) computations.
34) What does the robustness of a data mining manner consult with?
A) its ability to predict the result of a prior to now unknown data set correctly
B) its speed of computation and computational prices in using the mode
C) its skill to construct a prediction fashion successfully given a great amount of data
D) its talent to triumph over noisy data to make moderately correct predictions
35) What does the scalability of a data mining manner consult with?
A) its talent to predict the end result of a in the past unknown data set appropriately
B) its speed of computation and computational prices in using the mode
C) its talent to build a prediction model successfully given a large amount of data
D) its ability to overcome noisy data to make rather accurate predictions
36) In estimating the accuracy of data mining (or different) classification fashions, the true sure rate is
A) the ratio of correctly categorised positives divided by way of the general sure depend.
B) the ratio of appropriately labeled negatives divided by the total unfavourable rely.
C) the ratio of correctly classified positives divided by way of the sum of appropriately labeled positives and incorrectly classified positives.
D) the ratio of correctly categorized positives divided by means of the sum of accurately categorised positives and incorrectly classified negatives.
37) In data mining, finding an affinity of two products to be repeatedly in combination in a buying groceries cart is referred to as
A) association rule mining.
B) cluster research.
C) resolution trees.
D) synthetic neural networks.
38) Third birthday party suppliers of publicly to be had datasets offer protection to the anonymity of the people in the data set primarily by
A) asking data users to use the data ethically.
B) leaving in identifiers (e.g., identify), but changing different variables.
C) taking out identifiers similar to names and social security numbers.
D) letting people in the data know their data is being accessed.
39) In the Target case learn about, why did Target ship a youngster maternity commercials?
A) Target's analytic type perplexed her with an older girl with a equivalent identify.
B) Target used to be sending ads to all women in a selected neighborhood.
C) Target's analytic style recommended she was once pregnant based on her buying conduct.
D) Target was using a unique promotion that focused all teens in her geographical house.
40) Which of the following is a data mining fantasy?
A) Data mining is a multistep process that calls for planned, proactive design and use.
B) Data mining calls for a separate, devoted database.
C) The present state-of-the-art is able to move for nearly any trade.
D) Newer Web-based tools permit managers of all tutorial levels to do data mining.
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