Data Mining > QUESTIONS & ANSWERS > University of Houston, Downtown - CS 5310290223213-Quiz-Data-Mining (All)

University of Houston, Downtown - CS 5310290223213-Quiz-Data-Mining

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Decision Trees are built using: Select one: a. heuristics b. greedy algorithms c. dynamic programming d. divide and conquer strategy The problem of Curse of Dimensionality is associated with: ... Select one: a. increasing data points b. increasing noise in data c. increasing dimensions d. increasing users Which type of classifier would you prefer? A classifier with: Select one: a. Zero training error & high generalization error b. High training error & high generalization error c. High training error & low generalization error d. Low training error & high generalization error If A & B together appear in 80% of transactions, then Select one: a. Both ARs, A-->B & B-->A have 80% support b. Both ARs, A-->B and B-->A have same support & confidence c. The AR, B-->A has 90% support d. The AR, A-->B has 100% support Clustering is: Select one: a. Predictive & unsupervised b. Predictive and supervised c. Descriptive and supervised d. Descriptive and unsupervised If I want to know what kind of students are registered in the Data Mining course this semester, then which Data Mining technique I will use: Select one: a. Association Rule Mining b. Clustering c. Prediction d. Classification Credit card companies use Data Mining. Which Data Mining technique is used for authorizing or denying or taking any other action for each credit card swipe: Select one: a. Association Rule Mining b. Prediction c. Clustering d. Classification Decision trees can suffer from: Select one: a. only overfitting b. neither underfitting nor overfitting c. both underfitting & overfitting d. only underfitting A more appropriate name for Data Mining could be: Select one: a. Knowledge Mining b. Internet Mining c. Data Warehouse Mining d. Database Mining Model under fitting leads to: Select one: a. Low training error & high generalization error b. Zero training error & high generalization error c. High training error & low generalization error d. High training error & high generalization error Classifier Accuracy depends on: Select one: a. Training data b. Test Data c. Both on training and test data d. Neither on training nor on test data Pick the right sequence: Select one: a. DW-OLTP- OLAP- DM b. OLTP-DW-DM-OLAP c. OLTP-DW-OLAP-DM d. OLAP-OLTP-DW-DM Outliers are: Select one: a. Points very different than other points b. Not important c. Noise points d. Errors Pick the correct statement about decision tree based classification: Select one: a. Model over fitting is a more serious problem b. Model under fitting & over fitting can happen together c. Model under fitting is a more serious problem d. Model under fitting is a due to presence of noise Which impurity measure has the highest maximum value: Select one: a. Entropy b. Misclassification error c. Both Gini & Misclassification d. Gini Sent from my BlackBerry 10 smartphone. [Show More]

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