A Rough Set Approach for Customer Segmentation
نویسندگان
چکیده
منابع مشابه
A Rough Set Approach for Customer Segmentation
Customer segmentation is a process that divides a business’s total customers into groups according to their diversity of purchasing behavior and characteristics. The data mining clustering technique can be used to accomplish this customer segmentation. This technique clusters the customers in such a way that the customers in one group behave similarly when compared to the customers in other gro...
متن کاملCustomer Behavior Analysis Using Rough Set Approach
The customer relationship management (CRM) is a business methodology used to build long term profitable customers by analyzing customer needs and behaviors. The customer behavior is analyzed by choosing important attributes in the customer database. The customers are then segmented into groups according to their attribute values. The rules are generated using rule induction algorithms to descri...
متن کاملClustering Customer Transactions: A Rough Set Based Approach
An efficient customer behavior analysis is important for good Recommender System. Customer transaction clustering is usually the first step towards the analysis of customer behavior. Traditionally data mining techniques are deployed in order to provide effective recommendation based on large population of customer transactions in real time. Customer transactions are likely to be imprecise and i...
متن کاملA Study on Rough Set Theory for Medical Image Segmentation
Rough set is approximate representation of a crisp set. Rough set theory provides an approach to approximation of sets that leads to useful forms of granular computing. Several applications have revealed the need to extend the traditional rough set approach. A special place among various extensions is taken by the approach that replaces the relation based on equivalence with a tolerance relatio...
متن کاملCluster & Rough Set Theory Based Approach to Find the Reason for Customer Churn
Data mining is the nontrivial process of extraction of interesting, implicit, potentially and previously unknown knowledge from large databases. There are many techniques used in data mining like: Statistical Analysis, Decision Tree, Neural Network, Clustering, Association Rule, Genetic Algorithms, Fuzzy Logic, and Rough Sets. Rough Set theory (RST), is a technique for dealing with uncertainty ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Data Science Journal
سال: 2014
ISSN: 1683-1470
DOI: 10.2481/dsj.13-019