第五章、 結論與未來研究方向
第二節、 未來研究方向
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的效果大小進行預測，使用者可以利用此結果在實務上運用。
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參考文獻
一、 中文部分
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2. 陳均碩，2000，農業電子報使用者動機、行為與滿足程度之研究-以資策會
「臺灣農業資訊網（TAIS）電子報」為例，國立臺灣大學農業推廣學研究 所碩士論文。
3. 陳應強，2005，影響電子報讀者選擇與閱讀行為之研究，南華大學出版事業 管理研究所碩士論文。
4. 鍾任明，2004，運用文字探勘於日內股價漲跌趨勢預測之研究，中原大學資 訊管理研究所碩士論文。
5. 陳崇正，2009，應用網路書籤與 VSM 相似度演算法於強化實踐社群的形 成，國立中正大學資訊工程研究所碩士論文。
6. 吳漢瑞，2011，應用文字探勘技術於臺灣上市公司重大訊息對股價影響之研 究，國立政治大學資訊管理研究所碩士論文。
7. 陳柏均，2011，文件距離為基礎 kNN 分群技術與新聞事件偵測追蹤之研 究，國立政治大學資訊管理研究所碩士論文。
8. 費翠，網路市場行家理論驗證與延伸---其網路資訊搜尋、口碑傳播、線上購 物行為及個人特質研究，國立政治大學廣告研究所，2001。
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三、 網路部分
1. MM Days，http://mmdays.com/2007/05/16/knn/，2007/5/16。
2. Pew Research Center，http://www.pewresearch.org/，2010。