β˜‘ MCQ PRACTICE

Data Mining Unit 5

Practice objective questions for quick revision and examination preparation. Try answering each question before revealing the answer.

πŸ“š Data Mining
πŸ“– Unit 5
🎯 MCQs
1
Web mining is the process of discovering useful information from ______.
ADatabases
BData warehouses
CWorld Wide Web
DData lakes
Correct Answer World Wide Web
2
The three main categories of web mining are ______.
AWeb structure, Web content, Web usage
BWeb log, Web page, Web link
CText, Image, Audio
DStructured, Semi-structured, Unstructured
Correct Answer Web structure, Web content, Web usage
3
The WWW is a ______ information service center.
ALocal
BPrivate
CDistributed and global
DCentralized
Correct Answer Distributed and global
4
The main source of noise in web data comes from ______.
AAdvertisements and links
BAudio files
CDuplicate text
DEncrypted data
Correct Answer Advertisements and links
5
Web content mining extracts information from ______.
AWeb hyperlinks
BWeb logs
CWeb page contents
DIP addresses
Correct Answer Web page contents
6
NLP and IR techniques are primarily used in ______ mining.
AWeb usage
BWeb content
CWeb structure
DMultimedia
Correct Answer Web content
7
Web structure mining studies ______ between web pages.
AContent
BRelationships
CSize
DTags
Correct Answer Relationships
8
The Google search engine uses which algorithm for ranking pages?
ATF-IDF
BPageRank
CK-Means
DNaΓ―ve Bayes
Correct Answer PageRank
9
Web usage mining focuses on analyzing data from ______.
AServer logs
BImages
CHyperlinks
DAudio files
Correct Answer Server logs
10
The biggest ethical issue in web usage mining is ______.
ALow accuracy
BPrivacy invasion
CData duplication
DSpeed of computation
Correct Answer Privacy invasion
11
Multimedia data mining deals with ______ types of data.
AStructured
BText only
CMultimedia
DNumeric
Correct Answer Multimedia
12
Examples of multimedia data include ______.
AText and numbers
BImages, audio, video
CTables and charts
DLinks and addresses
Correct Answer Images, audio, video
13
The two categories of multimedia data mining are ______.
AText and Image
BStatic and Dynamic media
CStructured and Unstructured
DAudio and Video
Correct Answer Static and Dynamic media
14
Text mining is also known as ______.
AText extraction
BText data mining
CText compression
DText visualization
Correct Answer Text data mining
15
The main goal of text mining is to extract ______ information from text.
AMeaningful
BNumeric
CGraphical
DEncrypted
Correct Answer Meaningful
16
The process of splitting text into words is called ______.
ASegmentation
BLemmatization
CTokenization
DFiltering
Correct Answer Tokenization
17
Lemmatization converts words to their ______.
AUppercase
BBase or root form
CNumeric form
DPlural form
Correct Answer Base or root form
18
The Bag of Words (BOW) model represents text as ______.
ATables
BVectors
CTrees
DMatrices of images
Correct Answer Vectors
19
TF-IDF stands for ______.
ATerm Frequency – Inverse Data Formula
BTerm Frequency – Inverse Document Frequency
CText Frequency – Internal Document Factor
DToken Frequency – Input Document Factor
Correct Answer Term Frequency – Inverse Document Frequency
20
Applications of text mining include ______.
AWeather prediction
BResume filtering and medical analysis
CImage recognition
DVideo compression
Correct Answer Resume filtering and medical analysis

Fill in the Blanks

21 Web mining uses automated methods to extract both structured and ______ data.
Correct Answer Unstructured
22 The process of removing HTML tags and advertisements is called ______.
Correct Answer Data preprocessing
23 The three main steps in web mining are data collection, preprocessing, and ______.
Correct Answer Pattern discovery or mining
24 Web structure mining focuses on discovering the ______ between web pages.
Correct Answer Link structure
25 Web usage mining helps analyze user behavior through ______.
Correct Answer Server logs
26 Multimedia data mining extracts patterns from multimedia ______.
Correct Answer Databases
27 ________________________ is the process of deriving high quality information from text.
Correct Answer Text Mining
28 Text mining uses ______ to allow machines to understand human language.
Correct Answer Natural Language Processing (NLP)
29 The process of removing non-essential words like β€œis,” β€œand,” and β€œthe” is called ______.
Correct Answer Stop word removal
30 NLP stands for _______________________________________________.
Correct Answer Natural Language Processing
31 The Bag of Words model ignores the ______ of words in a document.
Correct Answer Order or position
32 Feature extraction in text mining converts text into ______ form.
Correct Answer Numerical
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