Which of the following stages of data mining processes that we unify and convert data within formats from the source system up to the required destination system

• Data Integration

• Data Cleaning

• Data Transformation

• Data Selection

Identifying data points purely on the description of another related data value to determine how they act in an upcoming time

• Identification

• Prediction

• Optimization

• Classification

Which of the following is the correct statement about data mining?

• A subject-oriented integrated time variant non-volatile collection of data support of management

• The actual discovery phase of a knowledge discovery processes

• The stage of selecting the right data for Knowledge Discovery in Databases (KDD) process.

• Group of similar objects that differ significantly from other objects.

Which of the following scenario is example of data mining?

• Agencies can find out which area is more prone to crime and how much police personnel should be deployed

• To find out the yield of vegetables with the amount of water required by the plants

• Finding factors that influence the customer’s decisions towards banking

• All of the mentioned

A process of making a group of different data objects into classes of similar data objects

• Classification

• Regression

• Clustering

• Association

One of the data mining issues which deals in expressing the discovered knowledge in different expressive forms so that it can be easily understood

• Incorporation of Background Knowledge

• Pattern Evaluation.

• Efficiency and Scalability of Data Mining Algorithms.

• Presentation and Visualization of Data Mining Results

A stage in Data Ming Processes where we obtain only relevant data for analysis from the collection of data.

• Data Cleaning

• Data Integration

• Data Transformation

• Data Selection

One of the activities performed in data mining is summarization, which means?

• To find out the group of objects which are similar to each other but are different from the object in another group

• To find out the overall generated data and its calculation in an easily comprehensible and informative manner

• To find out the continuous quantity for new observations using the knowledge gained from the previous data

• To accurately find out the target class for each case in the data

One of the major issues in data mining that deals with how efficient the data mining algorithm is, to effectively extract information from huge amount of data in many data repositories

• Performance Issue

• Diverse Data types Issue

• User Interface Issue

• Mining Methodology Issue

Which of the following is NOT a data mining technique?

• Regression analysis

• Clustering

• Random sampling

• Decision trees