Title
Identifying Personalization Patterns Using Intelligent Techniques in XML-Based Communication Records.
Abstract
This position paper presents some techniques for revealing personalization and users’ calling behavioral patterns by using XML-based communication records from simulations. A short description of the most common methods applied is provided, along with a case study for potential application employing real telecommunication Call Detail Records (CDRs). Finally, we describe an intelligent architecture which is embedded in mechanisms for performing seamless media independent handover in communications, while some first results are presented and discussed.
Year
DOI
Venue
2009
10.1109/SMAP.2009.23
San Sebastian
Keywords
Field
DocType
intelligent architecture,independent handover,common method,potential application,call detail records,xml-based communication records,intelligent techniques,real telecommunication,case study,position paper,behavioral pattern,xml-based communication record,identifying personalization,telephone networks,hurricanes,xml,data mining,real time systems,artificial neural networks
Telephone network,Behavioral pattern,Data mining,Architecture,Information retrieval,XML,Media-independent handover,Computer science,Position paper,Artificial neural network,Personalization
Conference
ISBN
Citations 
PageRank 
978-0-7695-3894-5
0
0.34
References 
Authors
1
4
Name
Order
Citations
PageRank
Anagnostopoulos, I.100.34
Nikolaos K. Dimitriou2356.92
C. Skianis3233.89
G. Kormentzas41259.91