CIS Intro to Data Mining Questions and Answers- University of the Cumberlands

CIS Intro to Data Mining Questions and Answers- University of the Cumberlands Question 1 4 out of 4 points Data mining is an integral part of knowledge discovery in database (KDD), which is the overall process of converting ____ into _____. raw data / useful information  Question 2 4 out of 4 points Which one of the following is NOT a challenge that motivated the development of data mining. Measurement Errors  Question 3 4 out of 4 points Four of the core data mining tasks are: Anomaly Detection, Association Analysis, Predictive Modeling, and Cluster Analysis True  Question 4 4 out of 4 points In data mining, "Closing the loop" is a phrase most often used for: referring to the process of integrating data mining results into decision support system  Question 5 4 out of 4 points Data mining is a technology that blends traditional data analysis methods with sophisticated algorithms for processing large volumes of data. True  Question 6 4 out of 4 points Name the four (4) types of attributes: Nominal, Ordinal, Interval, and Ratio  Question 7 4 out of 4 points GGtTTCCCFGGHJKKD CGCCA This image is an example of... Genomic sequence data  Question 8 4 out of 4 points What is the phenomenon that many types of data analysis become significantly harder as the dimensionality of the data increases? The Curse of Dimensionality  Question 9 4 out of 4 points Which type of Sampling is this? Sampling without replacement As each item is selected, it is removed from the population  Question 10 4 out of 4 points Match the following Feature Subset Selection . . . . . .