This slide tells about the basics of data mining and introduces you to classification, regression and classification techniques

1. Data Mining
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Data Mining is the process of analyzing large amount of data
and deriving some useful information from it.
What is Data Mining?

3. Data Mining Uses
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4. Data Mining helps to determine many things
like:-
 Whether a prospect should receive loan or not.
 Whether the day will be sunny, rainy or cloudy.
 Price of the house after certain period of time.
 How much a customer would spend during a sale.
….. and many others.
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5. Steps in Data Mining
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6. There are various methods in Data
Mining :-
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7. Predictive vs Descriptive
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8. Classification
It is one of the data mining techniques which categorizes data into
classes to get more accurate predictions
Gender classification on basis
of hair length
(Male or Female)
Classifying fruits from each fruit
feature like color, taste, size, weight
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9. Clustering
Cluster refers to group of objects.
Grouping data into clusters is
known as clustering.
If a pizza company wants to open its delivery centers across a city then
clustering algorithm will help them to do so.
They need to analyze:-
 From where pizza is ordered frequently
How many stores are needed to fulfill the demands of that area.
These all things can be analyzed using clustering algorithm.
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10. Regression
It is a data mining technique which is used to determine relationship
between 2 or more variables.
It includes independent variable and dependent variable.
Regression can help us
maintain safety by Analyzing
and predicting road traffic
accident by deriving relation
between no. of accidents and
rash driving.
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11. Thank you
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