
Exploring Algorithms and Data Mining
Quiz
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Computers
•
University
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Practice Problem
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Medium
M Kanipriya
Used 1+ times
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20 questions
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1.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What does HITS stand for in the context of algorithms?
Hypertext Information Transfer System
Hyperlink-Induced Topic Search
High-Impact Textual System
Hyperlink-Integrated Topic Search
2.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Explain the main purpose of the LOGSOM algorithm.
To optimize database queries for faster retrieval.
To visualize log data in real-time dashboards.
The main purpose of the LOGSOM algorithm is to analyze log data for pattern recognition and anomaly detection.
To compress log files for storage efficiency.
3.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the significance of mining path traversal patterns?
Mining path traversal patterns is only useful for data storage optimization.
It helps in reducing website traffic without improving security.
Mining path traversal patterns is significant for understanding user behavior and enhancing website security.
Mining path traversal patterns is primarily for enhancing server performance.
4.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
How does the Page Rank algorithm determine the importance of a webpage?
Page Rank only considers the age of the webpage.
A webpage's importance is determined by its loading speed.
The importance is based solely on the webpage's content.
The importance of a webpage is determined by the quantity and quality of links pointing to it.
5.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What are the key components of a recommender system?
Data visualization techniques
User feedback analysis
Key components of a recommender system include data collection, data processing, recommendation algorithms, and user interface.
Content creation tools
6.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Define text mining and its primary applications.
Text mining is only used for data visualization.
Text mining involves only structured data analysis.
Text mining is the same as data mining without any applications.
Text mining is the process of extracting valuable information from unstructured text data, with primary applications in sentiment analysis, topic modeling, information retrieval, and document classification.
7.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is Latent Semantic Analysis (LSA) used for?
LSA is a method for image processing.
LSA is used for generating random numbers.
LSA is used for analyzing relationships between documents and terms to uncover hidden semantic structures.
LSA is used to create video games.
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