ADatabases
BData warehouses
CWorld Wide Web
DData lakes
Correct Answer
World Wide Web
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
ALocal
BPrivate
CDistributed and global
DCentralized
Correct Answer
Distributed and global
AAdvertisements and links
BAudio files
CDuplicate text
DEncrypted data
Correct Answer
Advertisements and links
AWeb hyperlinks
BWeb logs
CWeb page contents
DIP addresses
Correct Answer
Web page contents
AWeb usage
BWeb content
CWeb structure
DMultimedia
Correct Answer
Web content
AContent
BRelationships
CSize
DTags
Correct Answer
Relationships
ATF-IDF
BPageRank
CK-Means
DNaΓ―ve Bayes
Correct Answer
PageRank
AServer logs
BImages
CHyperlinks
DAudio files
Correct Answer
Server logs
ALow accuracy
BPrivacy invasion
CData duplication
DSpeed of computation
Correct Answer
Privacy invasion
AStructured
BText only
CMultimedia
DNumeric
Correct Answer
Multimedia
AText and numbers
BImages, audio, video
CTables and charts
DLinks and addresses
Correct Answer
Images, audio, video
AText and Image
BStatic and Dynamic media
CStructured and Unstructured
DAudio and Video
Correct Answer
Static and Dynamic media
AText extraction
BText data mining
CText compression
DText visualization
Correct Answer
Text data mining
AMeaningful
BNumeric
CGraphical
DEncrypted
Correct Answer
Meaningful
ASegmentation
BLemmatization
CTokenization
DFiltering
Correct Answer
Tokenization
AUppercase
BBase or root form
CNumeric form
DPlural form
Correct Answer
Base or root form
ATables
BVectors
CTrees
DMatrices of images
Correct Answer
Vectors
ATerm Frequency β Inverse Data Formula
BTerm Frequency β Inverse Document Frequency
CText Frequency β Internal Document Factor
DToken Frequency β Input Document Factor
Correct Answer
Term Frequency β Inverse Document Frequency
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 βis,β βand,β and βtheβ 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