Web-Mining Analysis MCQs
Web-Mining Analysis MCQs
Welcome to MCQss.com, your ultimate destination for Multiple Choice Questions (MCQs) on Web Mining Analysis. Our interactive quiz format allows you to test your understanding and receive instant feedback on your answers.
Web Mining Analysis is a crucial field in data mining that focuses on extracting valuable insights and knowledge from web data. It involves the process of discovering patterns, trends, and relationships from web resources such as websites, social media platforms, and online documents.
By leveraging techniques from data mining, machine learning, and information retrieval, Web Mining Analysis helps businesses and organizations gain valuable information for decision-making, market research, personalization, and more.
To excel in Web Mining Analysis, it is essential to have a solid understanding of concepts such as web crawling, web content mining, web structure mining, and web usage mining. These techniques enable the extraction of meaningful patterns from web data and provide valuable insights into user behavior, web page relationships, and content analysis.
At MCQss.com, we offer a wide range of free MCQs on Web Mining Analysis to help you enhance your knowledge and skills in this field. Our quizzes cover various topics, including web data collection, preprocessing, pattern discovery, and evaluation methods.
By practicing with our MCQs, you can assess your proficiency, reinforce your understanding of key concepts, and sharpen your analytical skills in Web Mining Analysis. Whether you are a student preparing for exams or a professional looking to expand your expertise, our MCQs provide valuable learning resources.
1: PageRank is a metric for ________ documents based on their quality.
A. Ranking document structure
B. Ranking hypertext
C. None
D. Ranking web content
2: In data mining, Data objects that do not comply with general behavior or model of the data are called as:
A. Clusters
B. Outliers
C. None
D. Centroids
3: Select non predictive data mining technique from below
A. Summarization
B. Time Series Analysis
C. Classification
D. Regression
4: Hierarchical, Partitioning, Grid-based and density based methods are the methods of:
A. Outlier Detection
B. Clustering
C. Classification
D. Association
5: Match the following: A) Supervised Learning------i) Computer program to automatically learn to recognize complex patterns and make intelligent decisions based on data B) Machine learning---------ii) Synonym for classification C) Unsupervised learning----iii) Technique that make use of both labeled and unlabeled examples when learning a model D) Semi-supervised learning-iv) Synonym for Clustering
A. A-iv, B-i,C-iii,D-ii
B. A-i, B-iv,C-ii,D-iii
C. A-iv, B-i,C-ii,D-iii
D. A-ii, B-i,C-iv,D-iii
6: K-means is an example of:
A. Regression
B. Classification
C. Association rule
D. Clustering
7: Web usage mining refers to the discovery of user access patterns from Web usage logs.
A. False
B. True
8: Match the following: A)Partitioning Method---------------i) BIRCH B)Hierarchical Method---------------ii) OPTICS C) Density-Based Method-------------iii) STING D) Grid-based Method----------------iv) k-Medoids
A. A-i, B-iv,C-ii,D-iii
B. A-ii, B-i,C-iv,D-iii
C. A-iv, B-i,C-ii,D-iii
D. A-iv, B-i,C-iii,D-ii
9: Web mining - is the application of _______.
A. Data Mining
B. None
C. Data Mining And Text Mining
D. Text Mining
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Web-Mining Analysis MCQs
