Q Flashcards
4vs of bigdata
Volume-amount of data
Velocity-speed of data
Veracity - quality
Variety- types of data
Data mining phases
Data cleaning- remove noise
Data integration - combined
Data selection - retrieved
Data transformation - consolidate
Pattern evaluation - truly interacting
Knowledge presentation- visualieation
write down at least at five most common data mining tasks.
Description task
Estimation task
Prediction task -
Classification task - target variable is categories
Clustering task - grouping of record
Association task - Go together
OLAP means
Online analytical processing
RDBMS means
Relational databases management system
A collection of interrelation data
Database
It refers to extracting or mining knowledge from large amount of data
Data maning
Machine learning_______ how computer can learn
Investigate
Structured collected through a ______ system
Point of sale
(Crisp DM ) cross industry process of data mining
Business understanding
Data understanding
Data preparation
Data modeling
Evaluation
Deployment
Continues data______ and reduced to finer and finer levels
Divided
Discrete data______ that cant be made more precise
Count
data field characteristic of feature of a data
Attribute
Nominal attributes
Relating to names
Referred to categorical
An essential process where intelligent methods are applied in order to extract data patterns
Data mining
