Title :
Data mining and forecasting in large-scale telecommunication networks
Author :
Sasisekharan, Raguram ; Seshadri, V. ; Weiss, Sholom M.
Author_Institution :
AT&T Bell Labs., Middletown, NJ, USA
Abstract :
Large-scale telecommunication networks process millions of transactions daily. The authors present an approach for warehousing data about faulty networks and for mining it to find trends. Applying this approach to AT&T´s worldwide network, the authors have identified several patterns, which AT&T can use to improve network reliability.
Keywords :
knowledge acquisition; telecommunication computing; telecommunication network reliability; data mining; data warehousing; faulty networks; forecasting; large-scale telecommunication networks; network reliability; trends; Circuit faults; Computer network management; Computerized monitoring; Data mining; Degradation; Intelligent networks; Large-scale systems; Maintenance; Telecommunication computing; Telecommunication network reliability;
Journal_Title :
IEEE Expert
