Framework for distributed knowledge discovery systems embedded in extended enterprise

Framework for distributed knowledge discovery systems embedded in extended enterprise

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 importa...

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Bibliographic Details
Main Author: Neaga, Elena Irina
Published: Loughborough University 2003
Subjects:
670.2855758
Online Access:http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.398199
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spelling ndltd-bl.uk-oai-ethos.bl.uk-3981992018-08-07T03:16:13ZFramework for distributed knowledge discovery systems embedded in extended enterpriseNeaga, Elena Irina2003One 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.670.2855758Loughborough Universityhttp://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.398199https://dspace.lboro.ac.uk/2134/33990Electronic Thesis or Dissertation
collection NDLTD
sources NDLTD
topic 670.2855758
spellingShingle 670.2855758
Neaga, Elena Irina
Framework for distributed knowledge discovery systems embedded in extended enterprise
description 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.
author Neaga, Elena Irina
author_facet Neaga, Elena Irina
author_sort Neaga, Elena Irina
title Framework for distributed knowledge discovery systems embedded in extended enterprise
title_short Framework for distributed knowledge discovery systems embedded in extended enterprise
title_full Framework for distributed knowledge discovery systems embedded in extended enterprise
title_fullStr Framework for distributed knowledge discovery systems embedded in extended enterprise
title_full_unstemmed Framework for distributed knowledge discovery systems embedded in extended enterprise
title_sort framework for distributed knowledge discovery systems embedded in extended enterprise
publisher Loughborough University
publishDate 2003
url http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.398199
work_keys_str_mv AT neagaelenairina frameworkfordistributedknowledgediscoverysystemsembeddedinextendedenterprise
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