Exam 4: Predictive Analytics I: Data Mining Process, methods, and Algorithms
Exam 1: An Overview of Business Intelligence,analytics,and Data Science70 Questions
Exam 2: Descriptive Analytics I: Nature of Data,statistical Modeling,68 Questions
Exam 3: Descriptive Analytics II: Business Intelligence and Data Warehousing70 Questions
Exam 4: Predictive Analytics I: Data Mining Process, methods, and Algorithms69 Questions
Exam 5: Predictive Analytics II: Text, web, and Social Media Analytics70 Questions
Exam 6: Prescriptive Analytics: Optimization and Simulation68 Questions
Exam 7: Big Data Concepts and Tools69 Questions
Exam 8: Future Trends,privacy and Managerial Considerations in Analytics68 Questions
Select questions type
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.
Free
(True/False)
4.9/5
(35)
Correct Answer:
False
Data preparation,the third step in the CRISP-DM data mining process,is more commonly known as ________.
Free
(Short Answer)
4.9/5
(35)
Correct Answer:
data preprocessing
________ was proposed in the mid-1990s by a European consortium of companies to serve as a nonproprietary standard methodology for data mining.
Free
(Short Answer)
4.9/5
(38)
Correct Answer:
CRISP-DM
Knowledge extraction,pattern analysis,data archaeology,information harvesting,pattern searching,and data dredging are all alternative names for ________.
(Short Answer)
4.9/5
(28)
Statistics and data mining both look for data sets that are as large as possible.
(True/False)
4.7/5
(35)
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.
(True/False)
4.8/5
(30)
Third party providers of publicly available data sets protect the anonymity of the individuals in the data set primarily by
(Multiple Choice)
4.8/5
(30)
In the Dell cases study,the largest issue was how to properly spend the online marketing budget.
(True/False)
4.9/5
(43)
In data mining,finding an affinity of two products to be commonly together in a shopping cart is known as
(Multiple Choice)
4.8/5
(32)
Understanding customers better has helped Amazon and others become more successful.The understanding comes primarily from
(Multiple Choice)
4.9/5
(38)
In the cancer research case study,data mining algorithms that predict cancer survivability with high predictive power are good replacements for medical professionals.
(True/False)
4.7/5
(34)
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.
(True/False)
4.9/5
(35)
In the terrorist funding case study,an observed price ________ may be related to income tax avoidance/evasion,money laundering,or terrorist financing.
(Short Answer)
4.8/5
(28)
The data mining in cancer research case study explains that data mining methods are capable of extracting patterns and ________ hidden deep in large and complex medical databases.
(Short Answer)
4.9/5
(36)
In the Dell case study,engineers working closely with marketing,used lean software development strategies and numerous technologies to create a highly scalable,singular ________.
(Short Answer)
4.8/5
(34)
One way to accomplish privacy and protection of individuals' rights when data mining is by ________ of the customer records prior to applying data mining applications,so that the records cannot be traced to an individual.
(Short Answer)
4.7/5
(30)
In lessons learned from the Target case,what legal warnings would you give another retailer using data mining for marketing?
(Essay)
4.8/5
(27)
Which data mining process/methodology is thought to be the most comprehensive,according to kdnuggets.com rankings?
(Multiple Choice)
4.7/5
(34)
Data mining can be very useful in detecting patterns such as credit card fraud,but is of little help in improving sales.
(True/False)
4.7/5
(38)
Showing 1 - 20 of 69
Filters
- Essay(0)
- Multiple Choice(0)
- Short Answer(0)
- True False(0)
- Matching(0)