ndian customers are on stage of changing. Buying pattern of today’s customer is
totally different than buying pattern of customer of past
as well of tomorrow. Indian
customer has changed because of change in life style, their buying capacity, revised income
structure, influence of western culture etc. here we have tried to find out such customers
who are not potential customer now but having
potential to become prospective in future. It
is essential for resolution to know which customer or group of customers can become
subsequently potential customer for business. Here we are trying to focus on such customer
group who are not in limelight now
but can be potential for future with the help of emerging
sequential pattern. Most of the current
work
of sequential pattern takes place on bases of
objective measures like support and confidence. Paper mostly focused on subjective
measures like profitabi
lity, loyalty can also be helpful for customer segmentation with the
help of suitable clustering techniques, which can also helpful to find
Potential
customer
.
%0 Generic
%1 desai2014attention
%A Desai, Niti
%A and Amit Ganatra,
%B Int. Conf. on Recent Trends in Information, Telecommunication and Computing , ITC
%D 2014
%I ACEEE (A Computer division of IDES)
%K Emerging P Pattern Sequential atter attern based measure n ofitable on r subjective
%T Draw Attention
t
o Potential Customer
w
ith
t
he Help
o
f Subjective Measures
i
n
Sequential Pattern Mining
(SPM) Approach
%U http://searchdl.org/public/conference/2014/ITC/576.pdf
%X ndian customers are on stage of changing. Buying pattern of today’s customer is
totally different than buying pattern of customer of past
as well of tomorrow. Indian
customer has changed because of change in life style, their buying capacity, revised income
structure, influence of western culture etc. here we have tried to find out such customers
who are not potential customer now but having
potential to become prospective in future. It
is essential for resolution to know which customer or group of customers can become
subsequently potential customer for business. Here we are trying to focus on such customer
group who are not in limelight now
but can be potential for future with the help of emerging
sequential pattern. Most of the current
work
of sequential pattern takes place on bases of
objective measures like support and confidence. Paper mostly focused on subjective
measures like profitabi
lity, loyalty can also be helpful for customer segmentation with the
help of suitable clustering techniques, which can also helpful to find
Potential
customer
.
@conference{desai2014attention,
abstract = {ndian customers are on stage of changing. Buying pattern of today’s customer is
totally different than buying pattern of customer of past
as well of tomorrow. Indian
customer has changed because of change in life style, their buying capacity, revised income
structure, influence of western culture etc. here we have tried to find out such customers
who are not potential customer now but having
potential to become prospective in future. It
is essential for resolution to know which customer or group of customers can become
subsequently potential customer for business. Here we are trying to focus on such customer
group who are not in limelight now
but can be potential for future with the help of emerging
sequential pattern. Most of the current
work
of sequential pattern takes place on bases of
objective measures like support and confidence. Paper mostly focused on subjective
measures like profitabi
lity, loyalty can also be helpful for customer segmentation with the
help of suitable clustering techniques, which can also helpful to find
Potential
customer
. },
added-at = {2014-03-21T12:37:59.000+0100},
author = {Desai, Niti and and Amit Ganatra},
biburl = {https://www.bibsonomy.org/bibtex/2dae0ac3315ac682c990964e440873cd5/idescitation},
booktitle = {Int. Conf. on Recent Trends in Information, Telecommunication and Computing , ITC},
interhash = {685cf3b1f54027037626b0de614a8bd4},
intrahash = {dae0ac3315ac682c990964e440873cd5},
keywords = {Emerging P Pattern Sequential atter attern based measure n ofitable on r subjective},
organization = {Institute of Doctors Engineers and Scientists},
publisher = {ACEEE (A Computer division of IDES)},
timestamp = {2014-03-21T12:37:59.000+0100},
title = {Draw Attention
t
o Potential Customer
w
ith
t
he Help
o
f Subjective Measures
i
n
Sequential Pattern Mining
(SPM) Approach},
url = {http://searchdl.org/public/conference/2014/ITC/576.pdf},
year = 2014
}