All Of The Following Statements About Data Mining Are True ~ High-End News

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.All of the above statements are true except the 5 th as instead K-Means is a special case of EM algorithm in which only the centroids of the cluster distributions are calculated at each iteration. Q38. Which of the following is/are not true about DBSCAN clustering algorithm: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.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. 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

40 Questions to test Data Scientist on Clustering

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 the following statements about hidden layers in artificial neural networks are true EXCEPT A) hidden layers are not direct inputs or outputs. B) more hidden layers increase required computation exponentially. C) many top commercial ANNs forgo hidden layers completely. D) more hidden layers include many more weights.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.

ch 4 data mining Flashcards | Quizlet

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.Which of the following statements about data mining is true? Data mining typically uses data from a data warehouse: data clusters: occur when three or more database elements occur together in a significant way: To properly secure data and date networkd, a manager should use all of the following EXCEPT: roadblocksAll 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 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 century31) 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.

31) All of the following statements about data mining are true EXCEPT

A) working out the industry goal is important.

B) figuring out the data, e.g., the related variables, is important to luck.

C) development the type takes the most time and effort.

D) data is typically preprocessed and/or wiped clean prior to use.

32) Which data mining process/method is considered the maximum comprehensive, according to kdnuggets.com scores?

A) SEMMA

B) proprietary organizational methodologies

C) KDD Process

D) CRISP-DM

33) Prediction issues where the variables have numeric values are most appropriately outlined as

A) classifications.

B) regressions.

C) associations.

D) computations.

34) What does the robustness of a data mining method consult with?

A) its talent to expect the end result of a prior to now unknown data set as it should be

B) its velocity 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 triumph over noisy data to make rather correct predictions

35) What does the scalability of a data mining approach confer with?

A) its talent to expect the consequence of a up to now unknown data set correctly

B) its pace of computation and computational prices in the use of the mode

C) its skill to construct a prediction type efficiently given a great amount of data

D) its talent to conquer noisy data to make rather correct predictions

36) In estimating the accuracy of data mining (or different) classification models, the true certain charge is

A) the ratio of appropriately categorised positives divided via the overall certain rely.

B) the ratio of correctly categorized negatives divided through the total unfavourable depend.

C) the ratio of accurately classified positives divided through the sum of accurately labeled positives and incorrectly labeled positives.

D) the ratio of as it should be categorized positives divided by way of the sum of correctly classified positives and incorrectly classified negatives.

37) In data mining, finding an affinity of two products to be frequently in combination in a shopping cart is referred to as

A) affiliation rule mining.

B) cluster research.

C) resolution timber.

D) artificial neural networks.

38) Third birthday party suppliers of publicly to be had datasets protect the anonymity of the individuals in the data set primarily by way of

A) asking data customers to make use of the data ethically.

B) leaving in identifiers (e.g., name), however converting other variables.

C) taking away identifiers akin to names and social safety numbers.

D) letting people in the data know their data is being accessed.

39) In the Target case find out about, why did Target ship a teenager maternity ads?

A) Target's analytic type perplexed her with an older woman with a an identical title.