KD in FM: Knowledge Discovery in Facilities Management Databases
نویسندگان
چکیده
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.
منابع مشابه
Evaluating the Growth and Evolution of Facility Management in Innovating Integrating and Aligning Business Strategies to Achieve a Competitive Advantage
The South African Facilities Management (FM) industry has seen increased operational strategy complexity from single-site contractors providing basic janitorial services to highly integrated and bundled FM service providers. Despite these major changes, very little research has been conducted on evaluating the effectiveness of FM in innovating, integrating and aligning business strategies to a...
متن کاملA multiple criteria decision support Web-based system for facilities management
An analysis of multiple criteria decision support systems and facilities management web-based automation applications that were developed by researchers from various countries assisted the authors to create their own Multiple Criteria Decision Support Web-Based System for Facilities Management (DSS-FM). DSS-FM differs from others in its use of new multiple criteria analysis methods as were deve...
متن کاملKnowledge Discovery on the Grid
In the last few decades, Grid technologies have emerged as an important area in parallel and distributed computing. The Grid can be seen as a computational and large-scale support, and even in some cases as a high-performance support. In recent years, the data mining community have been increasingly using Grid facilities to store, share, manage and mine large-scale data-driven applications. Ind...
متن کاملHarnessing Knowledge Management In The Process of Performance Evaluation of Facilities in Malaysia: A Critical Success Factors
Knowledge is vital in decision making process similarly; performance evaluation of facilities is a strategic tool of generating and sharing new knowledge. Both contribute towards continuous improvement of organisational process performance The systematic management of expanding knowledge within the Facilities Management organisation are obviously very crucial. However, the awareness and knowled...
متن کاملApplication of Rough Set Theory in Data Mining for Decision Support Systems (DSSs)
Decision support systems (DSSs) are prevalent information systems for decision making in many competitive business environments. In a DSS, decision making process is intimately related to some factors which determine the quality of information systems and their related products. Traditional approaches to data analysis usually cannot be implemented in sophisticated Companies, where managers ne...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 1998