Use this URL to cite or link to this record in EThOS: http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.398199
Title: Framework for distributed knowledge discovery systems embedded in extended enterprise
Author: Neaga, Elena Irina
ISNI:       0000 0001 3440 3500
Awarding Body: Loughborough University
Current Institution: Loughborough University
Date of Award: 2003
Availability of Full Text:
Access from EThOS:
Access from Institution:
Abstract:
One of the foremost challenges facing manufacturing industry nowadays is the large-scale integration of their enterprise systems, along with their associated models, data and information. The enterprise applications generate large amounts of data which are a valuable asset and potentially an important source of new information and knowledge for improving the business of the enterprise, gaining competitive advantage in fierce markets and coping with changes and managerial complexity. The research reported in the thesis is focused on the modelling, design, development and implementation of knowledge discovery and data mining systems, by considering multiple views including knowledge, mining, information, data and application views defined at the level of enterprise reference architecture.
Supervisor: Not available Sponsor: Not available
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID: uk.bl.ethos.398199  DOI: Not available
Share: