應用自組織映射圖網路及倒傳遞網路於探勘通信資料庫之潛在用戶

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姓名

黃若瑜(Juo-yu Huang) 查詢紙本館藏

畢業系所

資訊工程學系在職專班

論文名稱

應用自組織映射圖網路及倒傳遞網路於探勘通信資料庫之潛在用戶
(Applying Self-Organizing Map and Back-Propagation Network to Mining Telecommunication Potential Customers)

相關論文

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★ 在分散式雲端平台上對不同巨量天文應用之資料區域性適用策略研究	★ 應用資料倉儲技術探索點對點網路環境知識之研究
★ 從交易資料庫中以自我推導方式探勘具有多層次FP-tree	★ 建構儲存體容量被動遷徙政策於生命週期管理系統之研究
★ 應用服務探勘於發現複合服務之研究	★ 利用權重字尾樹中頻繁事件序改善入侵偵測系統
★ 有效率的處理在資料倉儲上連續的聚合查詢	★ 入侵偵測系統：使用以函數為基礎的系統呼叫序列
★ 有效率的在資料方體上進行多維度及多層次的關聯規則探勘	★ 在網路學習上的社群關聯及權重之課程建議
★ 在社群網路服務中找出不活躍的使用者	★ 利用階層式權重字尾樹找出在天文觀測紀錄中變化相似的序列

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摘要(中)

近年來電信市場蓬勃發展，各家業者致力於各種行銷方式，目的是為了吸引更多客戶加入。在眾多的行銷企畫中，雖能夠吸引不同的消費者，但也會耗費業者高成本資源。倘若能以較低的成本達到相同的結果，對業者而言是較為樂見的，而針對不同類型的消費者，以不同的方式進行銷售，就不需要將每筆行銷廣告發送給每位客戶，進而替業者省下一筆可觀的預算。因此，如何找出不同類型的電信用戶則成為本研究的目的，以現有的通信資料庫進行資料探勘，區別出各類型的用戶提供業者參考。
區別客戶類型的研究大多以個人資料及歷史消費紀錄作為研究資料來源。然而，國內電信業者對於申請用戶的資料記錄並不詳細，亦無法確定登記申請者與電話使用者為同一人。因此，本研究採用大量的歷史通訊紀錄為資料來源，應用自組織映射圖網路技術分析用戶行為特性，從中區別各類型的用戶並指出各類別特性，並整合倒傳遞網路技術進行模型建構，以期發展可靠的預測模型。

摘要(英)

With the growth of telecommunication market, every Internet Service Provider (ISP) proposes many kinds of marketing strategies to expand their market and gain customers. Although lots of these marketing plans can attract users and increase volume of sales of products, most of these strategies cost much and resource wasted for ISPs. For customized marketing, nowadays, discovering different customer communities through customer profiles and historical consumer behaviors is important and urgent, and it motivates our research.
For promoting specific products to different groups, we collect a large amount of historical data of telecommunication users, and apply state-of-the-art classification methods to categorize different communities of consumer behaviors. Due to the stabilization and efficiency of neural network, we employ self-organizing map and back-propagation network algorithms to generate a prediction model, and utilize it to group different consumer communities, then analyze them from different phases for promotion. From the experimental results, we believe this approach can classify communities efficiently and accurately, and it is workable to support marketing in telecommunication market.

關鍵字(中)

★ 倒傳遞網路
★ 自組織映射圖網路
★ 通信資料探勘
★ 資料探勘

關鍵字(英)

★ Back-propagation network
★ Self-organizing map
★ Data mining
★ Telecommunication data mining

論文目次

目錄
頁次
中文摘要 …………………………………………………………………………… i
英文摘要 …………………………………………………………………………… ii
目錄 …………………………………………………………………………… iii
圖目錄 …………………………………………………………………………… v
表目錄 …………………………………………………………………………… vii
一、緒論
1-1 研究背景………………………………………………………………… 1
1-2 研究動機與目的………………………………………………………… 2
1-3 研究方法與流程………………………………………………………… 2
1-4 論文架構………………………………………………………………… 3
二、文獻探討
2-1 資料探勘方法…………………………………………………………… 5
2-1-1 群聚分析………………………………………………………………… 6
2-1-2 分類分析………………………………………………………………… 7
2-2 類神經網路方法………………………………………………………… 8
2-3 資料探勘於電信業之應用……………………………………………… 10
2-4 資料探勘於潛在用戶發掘之應用……………………………………… 12
三、探勘潛在用戶之研究分析
3-1 探勘潛在用戶系統架構………………………………………………… 16
3-2 來源資料彙整…………………………………………………………… 17
3-2-1 來源資料………………………………………………………………… 17
3-2-2 分析資料………………………………………………………………… 18
3-3 應用自組織映射圖網路於群聚分析…………………………………… 19
3-3-1 自組織映射圖網路……………………………………………………… 19
3-3-2 參數選擇………………………………………………………………… 23
3-4 應用倒傳遞網路於判別預測分析……………………………………… 24
3-4-1 倒傳遞網路……………………………………………………………… 24
3-4-2 參數選擇………………………………………………………………… 28
四、實驗結果與分析
4-1 群集網路建構與分析…………………………………………………… 31
4-2 分類網路建構與分析…………………………………………………… 44
五、結論 51
參考文獻 …………………………………………………………………………… 52
附錄 …………………………………………………………………………… 56

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指導教授

蔡孟峰

審核日期

2010-8-15

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