KD in FM: Knowledge discovery in facilities management databases

Abstract

The KD in FM project aims to investigate how Knowledge Discovery in Databases (KDD), and particularly data mining, techniques can be applied to the distributed, heterogeneous and autonomous data sources found in the Facilities Management (FM) environment. The problems associated with multiple disparate databases are examined as is recent research in heterogeneous database mining. Finally, we describe the architecture of a system for KDD in this environment and suggest some suitable data mining techniques.Key wordsData miningHeterogeneous databasesFacilities management