Paper Info
Title
Combining Semantic Technologies And Data Mining To Endow Bss/Oss Systems With Intelligence Particularization To An International Telecom Company Tariff System
Abstract
Businesses need to "reduce costs" and improve their "time-to-market" to compete in a better position. Systems must contribute to these two goals through good designs and technologies that give them agility and flexibility towards change. Semantics and Data Mining are two key pillars to evolve the current legacy systems towards smarter systems that adapt to changes better. In this article we present some solutions to evolve the existing systems, where the end user has the possibility of modifying the functioning of the systems incorporating new business rules in a Knowledge Base.
Year
Venue
Keywords
2010
ICEIS 2010: PROCEEDINGS OF THE 12TH INTERNATIONAL CONFERENCE ON ENTERPRISE INFORMATION SYSTEMS, VOL 3: INFORMATION SYSTEMS ANALYSIS AND SPECIFICATION
Semantic technologies, Data mining, BSS, OSS, Telecom, Tariff
Field
DocType
Citations 
Data science,Data mining,Semantic technology,Computer science,Knowledge management,Tariff,Semantic computing
Conference
0
PageRank 
References 
Authors
0.34
0
3
Name
Order
Citations
PageRank
Javier Martínez Elicegui100.34
Germán Toro del Valle252.07
Marta de Francisco Marcos300.34