%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 }