規劃建構台灣知識櫥窗資料探勘參考模式之先期研究

A Preliminary Study on a Reference Model of the Planning and Construction of Taiwan Knowledge Window Data Mining

陳健義(Jian-Yi Chen)

指導教授 ： 王銘宗

共同指導教授 ： 王淑娟(Shu-Juan Wang)

國立臺灣大學/工學院/工業工程學研究所/碩士(2004年)

https://doi.org/10.6342/NTU.2004.10110

摘要

隨著時間的演進及生活水準的提升，人類的經濟活動已漸漸從以勞力密集為主的工業階段轉變為以知識密集為主的資訊階段，且企業的競爭優勢已不再決定於豐厚的資金或是龐大的土地，而是取決於企業是否能善用公司員工的智慧資本，使其成為企業競爭的利器；然而隨著員工流動率的提升，企業在無形中會損失釵h關鍵知識。這些關鍵知識在競爭激烈的環境下，被視為企業的重要資產，更是企業不可或缺的競爭優勢。另外在這資訊爆炸的時代，企業要如何利用資訊技術來管理及分析資料，例如在資料挖掘技術的運作下，使資料成為有用的資訊，並進而轉換成組織或員工的知識，這是企業所必須重視的課題。
在知識經濟時代，企業在推動知識管理的同時，如何導入資料探勘，本研究將藉由文獻探討方式整理分析，同時以台灣知識櫥窗為基礎下，提出資料探勘推動模式。台灣知識櫥窗（Taiwan Knowledge Window, TKW），其目標乃提供作為知識入口網站，提供產、官、學知識共享交流之平台。藉由網際網路的輔助建立知識分享平台，將有助於知識的蓄積、分類、擴散及激發。本研究探討之主要目的可以歸納為以下三點：
一、以知識件管理、知識社群及智慧資本管理為基礎之下，企業如何應用資料探勘技術。
二、建立以台灣知識櫥窗為基礎的資料探勘通用模式架構，使企業能有完整的資料探勘模式可以遵循。
三、藉由文獻探討與整理，歸納出資料探勘在知識管理之未來趨勢與挑戰。

關鍵字

知識管理 ； 資料探勘 ； 資料探勘模式 ； 台灣知識櫥窗 ； 電子化分享平台

並列摘要

Because of Time's resoluiton and better standard level of life, people's economic activities changed gradually from the industry stage by labor-intensive to the knowledge-intensive. The rich asset or the large land is just one of the competitive advantage of enterprise. If enterprise can use the intellectual capital well and let it become a better weapon, enterprise will become competitive. Because of high manpower turn over rate, enterprise will lose some key knowledge invisibly. These key knowledge are under intense circumstance. They are regarded as important asset because enterprise can't survive without them. Otherwise, because of the age of information explosion, enterprise must put an emphasis on how to manage and analyize data by information technology. For instance, we have to make data become useful information and transform them into knowledge of organization or employee.
Today is at the age of knowledge economy. According to literature review , this research analyized enterprise how to guide data mining technologies based on knowledge management. Taiwan Knoeledge Window aims at knowledge portal in Taiwan and supports the knowledge-sharing platform for the industry, the government, and the research institutes. Constructing knowledge-sharing platform supported by the network will help the storage, the classification, diffusion, and inspiration of knowledge. The main purposes of this research focus on three following conclusion based on Taiwan Knowledge Window:
1.By the way of studying and reviewing literature, this research concludes what are the future trends and the challenges of data mining for knowledge management.
2.This research suggested the method for enterprise how to apply data mining technology which is based on knowledge Management.
3.This research established a general data mining model based on Taiwan Knowledge Window in order to make the enterprise able to follow complete data mining model.

並列關鍵字

Data Mining Mod ； Knowledge management ； Data Mining

參考文獻

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