WorksheetsBSCS 4-2 - CS Elective 4 (Data Mining)
Total questions: 20
Worksheet time: 10mins
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
What are the sub-stages included in data preparation?
Cleaning, Integration, Selection, Transformation
Cleaning, Integration, Selection, Data Mining
Cleaning, Selection, Integration, Evaluation
Cleaning, Transformation, Evaluation, Data Mining
One of the data mining issues that deals with uncertain data which sometimes lead to wrong or incorrect pattern
Handling Noisy or Incomplete Data
Pattern Evaluation
Mining Information from Heterogeneous Databases and Global Information
Handling Relational and Complex Types of Data
Which of the following is a major issue in data mining related to data quality?
Bias in the data
Lack of transparency in models
Handling large datasets
Lack of interpretability
Which of the following is a major issue in data mining related to scalability?
Bias in the data
Lack of transparency in models
Handling large datasets
Lack of interpretability
What might be the impact of outliers on data mining algorithms?
Outliers can cause data mining algorithms to perform poorly
Outliers do not have any impact on data mining algorithms
Outliers can improve the performance of data mining algorithms
Outliers can only impact certain types of data mining algorithms
Which of the following techniques can be used to detect outliers?
Clustering
Regression analysis
Boxplots
All of the above
Which of the following is an example of a data mining user interface issue?
Developing new algorithms for analyzing the data
Providing support for multiple data sources
Improving the performance of existing algorithms
All of the above
A company is using a data mining algorithm to analyze their customer data in real-time. However, the algorithm is taking too long to generate results. Which technique can be used to improve the performance of the algorithm?
Sampling
Parallel processing
Data cleaning
Data transformation
A data mining algorithm is generating inaccurate results due to noise and outliers in the dataset. Which technique can be used to improve the accuracy and performance of the algorithm?
Sampling
Parallel processing
Data cleaning
Data transformation
A company is using data mining techniques to analyze their sales data and predict future sales trends. They use the data mining results to make strategic decisions. This is an example of descriptive data mining
True
False
