Data Warehousing and Data Mining LAB

Data Mining is the set of methodologies used in analyzing data from various dimensions and perspectives, finding previously unknown hidden patterns, classifying and grouping the data and summarizing the identified relationships

• True

• False

What should be written in the blue box?

• Transformed data

• Pattern/model

• Preprocessed data

• Raw data

What should be written in the blue box?

• Transformed Data

• Preprocessed Data

• Pattern/model

• Raw data

Using features to predict unknown or future values of the same or other feature is known as ___________ power of data mining

• Clustering

• Predictive

• Associative

• Descriptive

"Use data mining to find interesting, human-interpretable patterns that describe the data". What is the type of data mining to achieve this objective?

• Association

• Anomaly

• Descriptive

• Categorisation

"Process of sifting through large data sets to identify and describe patterns, discover and establish relationships with an intent to predict future trends based on those patterns and relationships". What does this statement explain about?

• Visualization

• Representation

• Data mining

• Business intelligence

Fraud-detection models and risk mitigation models-these are examples of data mining solution for which discipline?

• Health

• Insurance

• Banking

• Retail

Select the skills mainly required as a competent data analyst/scientist/miner

• SQL

• R

• Python

• Java

Select the tools that can be used for data mining

• KNIME

• WEKA

• RATTLE

• TANAGRA

Data mining process includes reporting and analysis

• True

• False