LED的製造生產流程需經過多道的製程加工，在每道製程結束後產線人員會針對其加工站點進行單項製程的簡易量測，以確認產品是否能繼續生產。當LED產品完成所有製程加工後，會進行晶圓允收測試，在這項量測中會得知晶圓的點測良率，若當點測良率開始下滑，則代表前段製程機台開始出現異常，進而影響到產品產出。
過往，工程師都是自行透過MES系統先撈取晶圓點測良率，當點測良率開始下滑時才進一步去分析產品生產資料，並逐一去排除可能發生異常的站點及機台，這樣的過程不但花費了過多時間，也造成經驗無法適當傳承。
本研究將採用資料探勘(Data Mining)中的關聯法則分析(Association Rule)及決策樹(Decision Trees)來解決上述問題，並以台灣某一LED廠為例。

LED manufacturing has several production processes. At the end of each process, the operator of that process will perform simple test to verify whether the product is qualified to proceed with next step. After completion of the whole processes, the wafer acceptance test will be carried out for probing yield. If the probing yield is decreased, it indicates an error occurred at the front-end tools during operation, thereby affecting product output.
In the past, engineers retrieve the data of wafer probing yield through MES system on their own. Only when the data shows declining yield, the engineers start to analyze the production information to rule out possible abnormal processes or tools. By doing so, it spends too much time and can’t accumulate experiences.
The study will use Association Rule and Decision Tree in data mining techniques to solve the above problems based on a case study of a Taiwan LED manufacturer.

中文摘要 i
英文摘要 ii
誌謝 iii
目錄 iv
圖目錄 vii
表目錄 viii
第一章 緒論 1
1.1 研究背景 1
1.2 研究動機 3
1.3 研究目的及方法 4
1.4 論文架構 5
第二章 文獻回顧 6
2.1 知識發現 6
2.2 資料探勘 7
2.2.1 資料探勘定義 7
2.2.2 資料探勘方式 7
2.2.3 資料探勘常用技術 9
2.3 關聯規則介紹 11
2.4 決策樹介紹 14
2.4.1 ID3(Iterative Dichotomizer 3) 14
2.4.2 C4.5 14
2.4.3 CART(Classification and Regression Tree) 16
2.4.4 CHAID(Chi-Square Automatic Interaction Detector) 17
2.5 整合多個探勘工具的探勘模型 17
2.6 結合關聯規則的決策樹 18
2.7 發光二極體(Light Emitting Diode,LED)介紹 20
2.7.1 LED原理 21
2.7.2 LED製造流程 22
2.7.3 LED點測資料特性 23
第三章 研究架構流程 25
3.1 問題定義 27
3.2 資料選擇 28
3.3 資料前置處理 28
3.3.1 資料整合(Data Integration) 29
3.3.2 資料清理(Data Cleaning) 29
3.3.3 資料轉換(Data Transformation) 30
3.3.4 資料化約(Data Transformation) 30
3.4 資料探勘模型建構 31
3.5 結果分析及評估 32
第四章 個案研究分析 33
4.1 研究資料處理 33
4.2 資料分析方法 35
4.3 資料分析結果 40
第五章 結論與建議 43
5.1 研究結論及貢獻 43
5.2 未來研究方向 44
參考文獻 45

中文文獻
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學位論文
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英文文獻
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網路資料
[34] 科技網(2017)， http://www.digitimes.com.tw/tech/rpt/rpt_show.asp?cnlid=3&v=20170103-1&n=1