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
U okviru ovog magistarskog rada prikazana je primjena dubinske analize podataka kao jedne od discipl...
User profiling has wide applications such as personalization, intrusion detection, and online custom...
Abstract-This work helps in identifying the activities Segmentation of mobile customers of different...
This paper presents methodologies for creating profiles of typical customers for certain types of s...
Latest activity in scientific field has been major in research of algorithms that are able to solve ...
The purpose of this document is to report the results of applying some data mining methods that were...
Customer analysis is crucial phase for companies in order to create new campaign for their existing...
As business processes become more and more customer-centric, marketing and management relationships ...
Over the past years, data mining became a matter of considerable importance due to the large amounts...
Identifying segments of customers and their behavioral patterns over different time intervals, is an...
Consumers are the most important asset of any organization. The commercial activity of an organizati...
In this thesis, the related work on data mining functions, techniques and tools are first reviewed....
In this scenario achieving Customer satisfaction is no longer satisfied with a simple listing of mar...
Data warehousing role in telecommunications continues to increase in importance. Supporting business...
The paper focuses on the usage of data-mining techniques as a support tool for decision making. This...
U okviru ovog magistarskog rada prikazana je primjena dubinske analize podataka kao jedne od discipl...
User profiling has wide applications such as personalization, intrusion detection, and online custom...
Abstract-This work helps in identifying the activities Segmentation of mobile customers of different...
This paper presents methodologies for creating profiles of typical customers for certain types of s...
Latest activity in scientific field has been major in research of algorithms that are able to solve ...
The purpose of this document is to report the results of applying some data mining methods that were...
Customer analysis is crucial phase for companies in order to create new campaign for their existing...
As business processes become more and more customer-centric, marketing and management relationships ...
Over the past years, data mining became a matter of considerable importance due to the large amounts...
Identifying segments of customers and their behavioral patterns over different time intervals, is an...
Consumers are the most important asset of any organization. The commercial activity of an organizati...
In this thesis, the related work on data mining functions, techniques and tools are first reviewed....
In this scenario achieving Customer satisfaction is no longer satisfied with a simple listing of mar...
Data warehousing role in telecommunications continues to increase in importance. Supporting business...
The paper focuses on the usage of data-mining techniques as a support tool for decision making. This...
U okviru ovog magistarskog rada prikazana je primjena dubinske analize podataka kao jedne od discipl...
User profiling has wide applications such as personalization, intrusion detection, and online custom...
Abstract-This work helps in identifying the activities Segmentation of mobile customers of different...