This paper presents methodologies for creating profiles of typical customers for certain types of services and products in user-oriented businesses. Because of the specific characteristics of each of the domains where these methodologies would be applied creating one solution for all purposes does not solve the problem. The emphasis of this paper is on experimenting with real data from telecommunication sector and on the construction of clustering system for user profiling. The approach for solving this problem involves analysing the characteristics of the observed data and adjusting the process of intelligent data analysis according to its specifications
In this document, a subset of the output genera ted during the PhD of Alex Seret is reported. Five ...
[[abstract]]Advancements in technology have made relationship marketing a reality in recent years. T...
This report examines the problems of customer relationship management (CRM) particularly customer se...
This paper presents methodologies for creating profiles of typical customers for certain types of s...
The purpose of this document is to report the results of applying some data mining methods that were...
Latest activity in scientific field has been major in research of algorithms that are able to solve ...
As business processes become more and more customer-centric, marketing and management relationships ...
Customer analysis is crucial phase for companies in order to create new campaign for their existing...
In this scenario achieving Customer satisfaction is no longer satisfied with a simple listing of mar...
The paper focuses on the usage of data-mining techniques as a support tool for decision making. This...
In this thesis, the related work on data mining functions, techniques and tools are first reviewed....
Evaluating the performance of any organization is an essential part for overcoming their weaknesses....
Customer segmentation is the process of dividing customers into groups based on common similar chara...
The Milk product industry collects huge amounts of data on sales, customer's buying history, go...
Data mining is the process of employing one or more computer learning techniques to automatically an...
In this document, a subset of the output genera ted during the PhD of Alex Seret is reported. Five ...
[[abstract]]Advancements in technology have made relationship marketing a reality in recent years. T...
This report examines the problems of customer relationship management (CRM) particularly customer se...
This paper presents methodologies for creating profiles of typical customers for certain types of s...
The purpose of this document is to report the results of applying some data mining methods that were...
Latest activity in scientific field has been major in research of algorithms that are able to solve ...
As business processes become more and more customer-centric, marketing and management relationships ...
Customer analysis is crucial phase for companies in order to create new campaign for their existing...
In this scenario achieving Customer satisfaction is no longer satisfied with a simple listing of mar...
The paper focuses on the usage of data-mining techniques as a support tool for decision making. This...
In this thesis, the related work on data mining functions, techniques and tools are first reviewed....
Evaluating the performance of any organization is an essential part for overcoming their weaknesses....
Customer segmentation is the process of dividing customers into groups based on common similar chara...
The Milk product industry collects huge amounts of data on sales, customer's buying history, go...
Data mining is the process of employing one or more computer learning techniques to automatically an...
In this document, a subset of the output genera ted during the PhD of Alex Seret is reported. Five ...
[[abstract]]Advancements in technology have made relationship marketing a reality in recent years. T...
This report examines the problems of customer relationship management (CRM) particularly customer se...