data mining- prediction

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

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

Associations/co-relations between product sales, & prediction based on such association is called ____________

• Customer profiling

• Target marketing

• Customer requirement analysis

• Cross-market analysis

Class label is unknown: Group data to form new classes, e.g., cluster houses to find distribution patterns

• Predictive Analysis

• Anomaly Detection

• Association Mining

• Cluster analysis

Data mining depends on

-Kinds of data to be mined

-Kinds of knowledge to be discovered

-Kinds of techniques utilized

-Kinds of applications adapted

• True

• False

Choose which data mining task is the most suitable for the following scenario: diagnosing the level of flood severity

• Prediction

• Classification

• Anomaly detection

• Association rules

Choose which data mining task is the most suitable for the following scenario: detecting the dosage of medicine for a certain treatment

• Prediction

• Classification

• Association rules

• Sequential pattern analysis