BUAL 2650 EXAM 2 LEE QUESTIONS & ANSWERS
Which of the following is
not true
regarding data mining? - Answer -It is one task within a process
Data mining is defined as a process of identifying valid, novel, potentially useful, and
understandable
patterns in data. What is the meaning of 'valid'? - Answer -The pattern should hold true
on new data.
The goal of which task is to predict categories? - Answer -Cassification
What is the problem of finding hidden structure in data without given an explicit output
variable
(unlabeled data)? - Answer -Unsupervised Learning
Task of inferring a model from labeled training data is called - Answer -supervised
learning
Assume you want to perform supervised learning and to predict number of newborns
according to
size of storks' population, it is an example of - Answer -Regression
Discriminating between spam and non-spam emails is a classification task (T/F) -
Answer -True
Which of the following is an example of unsupervised learning - Answer -Clustering
CRISP-DM - Answer -Cross Industry Standard Process for Data Mining
Select the incorrect statement about prediction that is one of data mining tasks?
A) Two major types of predictions are classification and regression.
B) Supervised learning methods can be used for classification and regression.
C) Classification is used for predicting continuous outcome variables
D) Regression is used for predicting continuous outcome variables. - Answer -
Classification is used for predicting continuous outcome variables.
(_______) is a task to segment data into groups that are not previously defined. -
Answer -Clustering
(_______) is a industry standard data mining process that is iterative in nature and has
6 steps. - Answer -CRISP-DM
What are the major data mining tasks?
Which of the following is
not true
regarding data mining? - Answer -It is one task within a process
Data mining is defined as a process of identifying valid, novel, potentially useful, and
understandable
patterns in data. What is the meaning of 'valid'? - Answer -The pattern should hold true
on new data.
The goal of which task is to predict categories? - Answer -Cassification
What is the problem of finding hidden structure in data without given an explicit output
variable
(unlabeled data)? - Answer -Unsupervised Learning
Task of inferring a model from labeled training data is called - Answer -supervised
learning
Assume you want to perform supervised learning and to predict number of newborns
according to
size of storks' population, it is an example of - Answer -Regression
Discriminating between spam and non-spam emails is a classification task (T/F) -
Answer -True
Which of the following is an example of unsupervised learning - Answer -Clustering
CRISP-DM - Answer -Cross Industry Standard Process for Data Mining
Select the incorrect statement about prediction that is one of data mining tasks?
A) Two major types of predictions are classification and regression.
B) Supervised learning methods can be used for classification and regression.
C) Classification is used for predicting continuous outcome variables
D) Regression is used for predicting continuous outcome variables. - Answer -
Classification is used for predicting continuous outcome variables.
(_______) is a task to segment data into groups that are not previously defined. -
Answer -Clustering
(_______) is a industry standard data mining process that is iterative in nature and has
6 steps. - Answer -CRISP-DM
What are the major data mining tasks?
