Big Data Exam 2, ISDS 2001 CH. 4 TEST BANK, Test 2 Chap 4, ISM4402 Exam 2 QUESTIONS WITH VERIFIED CORRECT ANSWERS

) In the Cabela's case study, the SAS/Teradata solution enabled the direct marketer to better identify likely customers and market to them based mostly on external data sources. - Answer-FALSE 2) The cost of data storage has plummeted recently, making data mining feasible for more firms. - Answer-TRUE 3) Data mining can be very useful in detecting patterns such as credit card fraud, but is of little help in improving sales. - Answer-FALSE 4) If using a mining analogy, "knowledge mining" would be a more appropriate term than "data mining." - Answer-TRUE 5) The entire focus of the predictive analytics system in the Infinity P&C case was on detecting and handling fraudulent claims for the company's benefit. - Answer-FALSE 6) Data mining requires specialized data analysts to ask ad hoc questions and obtain answers quickly from the system. - Answer-FALSE 7) Ratio data is a type of categorical data. - Answer-FALSE 8) Interval data is a type of numerical data. - Answer-TRUE 9) In the Memphis Police Department case study, predictive analytics helped to identify the best schedule for officers in order to pay the least overtime. - Answer-FALSE 10) In data mining, classification models help in prediction. - Answer-TRUE 11) Statistics and data mining both look for data sets that are as large as possible. - Answer-FALSE 12) Using data mining on data about imports and exports can help to detect tax avoidance and money laundering. - Answer-TRUE 13) In the cancer research case study, data mining algorithms that predict cancer survivability with high predictive power are good replacements for medical professionals. - Answer-FALSE 14) During classification in data mining, a false positive is an occurrence classified as true by the algorithm while being false in reality. - Answer-TRUE 15) When training a data mining model, the testing dataset is always larger than the training dataset. - Answer-FALSE 16) When a problem has many attributes that impact the classification of different patterns, decision trees may be a useful approach. - Answer-TRUE 17) In the 2degrees case study, the main effectiveness of the new analytics system was in dissuading potential churners from leaving the company. - Answer-TRUE 18) Market basket analysis is a useful and entertaining way to explain data mining to a technologically less savvy audience, but it has little business significance. - Answer-FALSE 19) The number of users of free/open source data mining software now exceeds that of users of commercial software versions. - Answer-TRUE 20) Data that is collected, stored, and analyzed in data mining is often private and personal. There is no way to maintain individuals' privacy other than being very careful about physical data security. - Answer-FALSE 21) In the Cabela's case study, what types of models helped the company understand the value of customers, using a five-point scale? - Answer-D) clustering and association models 22) Understanding customers better has helped Amazon and others become more successful. The understanding comes primarily from - Answer-C) analyzing the vast data amounts routinely collected. 23) All of the following statements about data mining are true EXCEPT - Answer-A) the process aspect means that data mining should be a one-step process to results. 24) What is the main reason parallel processing is sometimes used for data mining? - Answer-C) because of the massive data amounts and search efforts involved