Association Rule I
By: Akshay Sawan
Anmol Nanda
Deepankar Dimri
Dennish Jose
M Vamshidhar Reddy
Rishabh Sharma
Introduction
Association rule learningis a popular and well researched
method for discovering interesting relations between variables in
large

PERCEPTRON LEARNING USING WEKA
By: Deepankar Dimri
Dennish Jose
M Vamshidhar Reddy
Rishabh Sharma
Introduction
Inmachine learning, theperceptronis an algorithm
forsupervisedclassificationof an input into one of several
possible non-binary outputs. It is

Cost/ Benefit Analysis
By: Deepankar Dimri
Dennish Jose
M Vamshidhar Reddy
Rishabh Sharma
Introduction
Costbenefit analysis(CBA), is a systematic approach to
estimating the strengths and weaknesses of alternatives that
satisfy transactions, activities or

Apriori with Weka
DATA MINING
Submitted by:
Avnit Sharma
Deepankar Tyagi
Kartikeya Vats
Tushar Sharma
Apriori Algorithm (Basics)
The Apriori Algorithm is an influential algorithm for
mining frequent itemsets for boolean association rules.
Key Concepts :

Excel To CSV Conversion
By: Deepankar Dimri
Dennish Jose
Rishabh Sharma
Introduction
Demonstrate one way to convert an Excel spreadsheet into a CSV
file using apache POI.
Assumptions:
1. Where the Excel workbook contains more that one worksheet,
when a

JAVA & DATABASE CONNECTIVITY
Data Mining
Presented By:
Deepankar Tyagi(U101112FCS050)
Kartikeya Vats(U101112FCS075)
Tushar Sharma(U101112FCS279)
ROUGH LAYOUT
A mySQL server running on remote server or
local machine(WAMP in our case)
Need to connect to t

Join And Trigger
CHHAVI SHARMA RUPESH NARAYAN
CHIRAG KANASE KUNAL JHA
Join
Three Types:-
Inner Join
Outer Join (left right full )
Natural Join
Inner Join
An inner join requires each record in the two joined tables to
have matching records, and is a common

Classification Window in WEKA
and
Confusion Matrix
CHHAVI SHARMA
RUPESH NARAYAN
CHIRAG KANASE
KUNAL JHA
Weka
Weka allows us to classify data using a number of
predefined algorithms. With experience the
algorithms can be modified to give better results .
W

Market Basket Analysis
Chhavi Sharma
Chirag Kanase
Rupesh Narayan
Introduction
What is Market Basket Analysis?
The collection and study of retail transaction data
sis
al y
An
Analysis
Ana
lysi
s
The search for meaningful and interesting associations in
cu

Perceptron
Algorithm
Concept, Applications & Examples
Chhavi Sharma
cs045
Chirag Kanse
cs046
Rupesh Narayan cs199
Kunal jha
Pre requisites
Linearly
Hyper plane :
separable data
Let
Rd and R
Then , the set Rd : WT .X=c defines a hyper plane.
dimension of

coefficient
Amol Goel
Arunima Sharma
Faiz Qureshi
Saurabh Mathur
Comparing data mining schemes
Different schemes to classify
In a specific classifier, parameters to be optimized
Which learning scheme performs better?
Need to show objectively which sc

SQL BASICS
Amol Goel
Arunima Sharma
Faiz M Qureshi
Saurabh Mathur
TOPICS TO BE COVERED:
DDL
DML
TCL
Loops
Procedures & Functions
SQL STRUCTURED QUERY
LANGUAGE
A
special-purpose programing language designed for
managing data stored in a relational database

ASSOCIATION RULE MINING II
Amol
Arunima
Faiz
Saurabh
Problem: Finding frequent item-sets
Number of items: n
Possible item-sets:
Exponential growth
Solution: Apriori Algorithm
Uses downward closure property:
For a frequent item-set, all its subsets ar

Dr. Nirmal Sancheti
Sankalan Training and Consultancy
Email: nirmal@sankalan.in
What is Machine Learning?
In 1959, Arthur Samuel defined machine learning as a
"Field of study that gives computers the ability to learn
without being explicitly programmed".