A Learning System for Decision Support in Telecommunications

  • Authors:
  • Filip Zelezný;Jirí Zídgek;Olga Stepánková

  • Affiliations:
  • -;-;-

  • Venue:
  • Soft-Ware 2002 Proceedings of the First International Conference on Computing in an Imperfect World
  • Year:
  • 2002

Quantified Score

Hi-index 0.00

Visualization

Abstract

We present a system for decision support in telecommunications. History data describing the operation of a telephone exchange are analyzed by the system to reconstruct understandable event descriptions. The event descriptions are processed by an algorithm inducing rules describing regularities in the events. The rules can be used as decision support rules (for the exchange operator) or directly to automate the operation of the exchange.