工業設計公司建構一個知識管理系統，對於存在公司內部、外部及設計師本身的內隱與外顯之重要相關的知識，作有效率地蒐集、創造、儲存、傳遞、分享及利用的過程與管理。如何由連續的資料 (Time Series Data) 中找出特定式樣 (Pattern) 在資料探勘(Data Mining) 的領域中是很重要的問題，資料探勘技術已經廣泛應用在商業、生物資訊數位學習 (E-Learning) 與科學等領域，亦適合於交通與3C工業設計的應用範疇，藉由資料探勘分析客戶的使用歷程與興趣喜好中所留下來的行為及個人資訊 (user-Portfolio) 來發掘出資源或產品之間的關聯規則 (Association Rule)，透過這些關連規則，設計服務平台能夠依據客戶、專案人員當時的操作狀態給予適當的資訊與建議，並達成適性化使用目的。

本研究藉由相關文獻資料的彙整、訪談與問卷調查方式，針對浩漢產品設計公司在知識管理系統中的設計知識庫之施行上的現況與問題做探討，並對不同身分之資深使用者對系統使用狀況做調查，進而找出問題點，就其系統的架構做分析後提出系統改良的方案，導入資料探勘工具，為了驗證本論文所提出之系統為一個合理且可行的資料挖掘系統概念，本研究透過一個簡單的資料挖掘流程，以及套入浩漢設計公司知識系統的案例，以探討本系統的效果。

研究結果發現由這些應用中我們可以得到以資料挖掘流程可以簡單地降低資料挖掘的成本，並且符合企業對於資料挖掘的需要。並期藉由個案運用的成果對產品設計產業提供一個發展設計產業知識管理的參考模式。

Data Mining is a technology which extracts useful or worthy information from large volumes of data. In the last decades, industrial design firms have built knowledge management systems one after another, with an aim to make good use of crucial knowledge existed internally and externally and leverage designers' implicit and explicit knowledge by efficient collection, creation, storage, transmission, sharing and use of the process and management.

How to dynamically use the continuous time-sequence data to sort out some specific patterns has become an important topic in Data Mining arena. The applications of Data Mining in commerce, biological, information technology, e-learning, and science researches have been operated generally, and have recently extended to transportation and industrial design of 3C devices.

Data Mining analysis establishes mining association rules between resources, objects of targeted products based on customer preferences, use behaviors and personal information (user portfolios). As a result, the design service platform can provide appropriate information and advice to customers and project staffs if the platform knows the associations between the attributes of the product design and the particular customers to achieve adaptive use.

To explore the practicability of the implementation and operation of the Industrial Design knowledge management subsystem incorporating in Nova Design’s knowledge management system, this research compiles literature data, interviews and survey questionnaire, while investigating the current utilization status of experienced users to identify and eliminate various usability issues. Hence, this study uses complementary data mining tools to analyze and improve the system structure to verify the proposed system as a reasonable and feasible concept of data mining system.

From the view of design, this research is developed to help design companies significantly reduce the cost of the Data Mining, and fulfill their business needs. By using the results of the case, we can provide a reference model for knowledge management systems to accelerate and enhance the development of Taiwan’s design industry.

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