10.__________ is a data mining technique which helps to define a set of rules to be used in making decisions based on training and testing data sets.

11.When the data mining technique in the previous question is used with a finite set of variables it generates a ___________________________.

12.When the data mining technique in question 10 is used with a continuous set of variables it generates a ___________________________.

13.__________ is a data mining technique used to determine patterns in a data set such as when product A is purchased it is likely that product B will also be purchased.

14.In the previous data mining method, __________ measure of the performance of an association rule at predicting or classifying cases as having an enhanced response, measured against a random targeting model.

15.What are the two distinct steps that one needs to perform when developing a data mining model in SAP? ____________________________ and _____________________________

16._____________ is a multidimensional data structure that allows users to quickly retrieve the sought after results in a BI environment.

17.__________________ is a mathematical model which optimizes the solution of resource allocation problems under which all the relationships are linear.

18.In order to perform text mining, analysts must first apply ________________ to unstructured data.

19.__________ data are expressed in numbers (continuous or discrete) and represent a value. __________ data are categorical, and while they may be expressed in numbers as well, these numbers would only be ordinal or nominal.

20.Prescriptive analytics are primarily about these two techniques: ____________________ and _________________.

21.What four characteristics separate Big Data from other BI data: ___________________, ___________________, ___________________ and ___________________.

22.__________ is a Big Data distributed file system built on many inexpensive servers that provide redundancy and quick response to queries based on massive volumes of data.

23.__________ is a programming model that allows a programmer to write a program which gets processed on the many inexpensive distributed servers and the results are returned and accumulated for the user.

24.__________ is a new database model for storing and processing discrete multi-structured Big Data for end users or automated Big Data applications.

25.__________ is a new Big Data position in which the employee needs to be skilled at statistics, technology, business and communications.