Application of Tree Structure in Knowledge and Project Management
碩士 === 義守大學 === 資訊管理學系碩士班 === 93 === With the widespread of Internet that makes knowledge available at our finger tips, “knowledge management” has thrived for many years. Currently many businesses adopt server-based structure for knowledge management. It categorizes different kinds of knowledge base...
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ndltd-TW-093ISU053960442015-10-13T14:49:53Z http://ndltd.ncl.edu.tw/handle/98223372836999465981 Application of Tree Structure in Knowledge and Project Management 樹狀結構於知識管理與專案管理的應用 Chia-ho Lee 李家和 碩士 義守大學 資訊管理學系碩士班 93 With the widespread of Internet that makes knowledge available at our finger tips, “knowledge management” has thrived for many years. Currently many businesses adopt server-based structure for knowledge management. It categorizes different kinds of knowledge based on some criteria, and stores them together in different categories; just like the information index system in a library. It begins with designating priorities to different classification rules; as such, different people may come up with different classification results due to difference in perception or preference. This thesis uses clustering method, which is an algorithm in deriving phylogenetic trees, and Microsoft Visual Foxpro 6.0, with a relational database, to build a hierarchical knowledge management system – bottom up. This results in a tree structure, or knowledge map. We compares the difference between these two approaches. Meng-Fong Chen 陳孟峯 2005 學位論文 ; thesis 42 zh-TW |
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碩士 === 義守大學 === 資訊管理學系碩士班 === 93 === With the widespread of Internet that makes knowledge available at our finger tips, “knowledge management” has thrived for many years. Currently many businesses adopt server-based structure for knowledge management. It categorizes different kinds of knowledge based on some criteria, and stores them together in different categories; just like the information index system in a library. It begins with designating priorities to different classification rules; as such, different people may come up with different classification results due to difference in perception or preference.
This thesis uses clustering method, which is an algorithm in deriving phylogenetic trees, and Microsoft Visual Foxpro 6.0, with a relational database, to build a hierarchical knowledge management system – bottom up. This results in a tree structure, or knowledge map. We compares the difference between these two approaches.
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author2 |
Meng-Fong Chen |
author_facet |
Meng-Fong Chen Chia-ho Lee 李家和 |
author |
Chia-ho Lee 李家和 |
spellingShingle |
Chia-ho Lee 李家和 Application of Tree Structure in Knowledge and Project Management |
author_sort |
Chia-ho Lee |
title |
Application of Tree Structure in Knowledge and Project Management |
title_short |
Application of Tree Structure in Knowledge and Project Management |
title_full |
Application of Tree Structure in Knowledge and Project Management |
title_fullStr |
Application of Tree Structure in Knowledge and Project Management |
title_full_unstemmed |
Application of Tree Structure in Knowledge and Project Management |
title_sort |
application of tree structure in knowledge and project management |
publishDate |
2005 |
url |
http://ndltd.ncl.edu.tw/handle/98223372836999465981 |
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