INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016
open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15
Usage Behavior Based Rigorous Clustering for Customer Segmentation and Profiling
Authors Name:
Ch.V.V.D. Prasad
, R. Seeta Sireesha , K. Rohini , Ch. Sailaja
Unique Id:
IJSDR1606057
Published In:
Volume 1 Issue 6, June-2016
Abstract:
The main aim of this paper focuses on the K-means and the DBSCAN clustering techniques to identify customer behaviors and group the customers in order to improve the customer service and to remove the outliers that are existing in the dataset. We use data mining techniques for customer profiling and segmentation. Clustering can be used for identifying and grouping similar customers. Finally, our focus is to find a way to divide the objects into clusters so that we can find frequent item in each cluster to improve sales by contacting customers through message, mail or phone based on the clusters.
"Usage Behavior Based Rigorous Clustering for Customer Segmentation and Profiling ", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.1, Issue 6, page no.328 - 333, June-2016, Available :http://www.ijsdr.org/papers/IJSDR1606057.pdf
Downloads:
000336257
Publication Details:
Published Paper ID: IJSDR1606057
Registration ID:160361
Published In: Volume 1 Issue 6, June-2016
DOI (Digital Object Identifier):
Page No: 328 - 333
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631
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