政大機構典藏-National Chengchi University Institutional Repository(NCCUR):Item 140.119/72478

English | 正體中文 | 简体中文 | Post-Print筆數 : 27 | Items with full text/Total items : 113311/144292 (79%)
Visitors : 50932987 Online Users : 982

RC Version 6.0 © Powered By DSPACE, MIT. Enhanced by NTU Library IR team.

Home ‧ Login ‧ Upload ‧ Help ‧ About ‧ Administer

政大機構典藏 > 商學院 > 資訊管理學系 > 期刊論文 > Item 140.119/72478

Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/72478

Title:	應用文件分群與文字探勘技術於機器學習領域趨勢分析以SSCI資料庫為例
Other Titles:	Trend Analysis in Machine Learning Research from SSCI Database by Document Clustering Manipulation and Text Mining Methodology
Authors:	尹其言;楊建民 Yin, Chi-Yen;Yang, Jiann-Min
Contributors:	資管系
Keywords:	文件分群;文字探勘;自組織映射網路
Date:	2010-12
Issue Date:	2014-12-29 16:00:44 (UTC+8)
Abstract:	機器學習領域期刊文獻的研究與發表，一直是電腦科學未來應用與新科技誕生的基礎，本研究利用SSCI資料庫中與機器學習應用相關研究文獻，使用文字探勘技術，擷取具文章鑑別力之特徵詞彙，進行詞彙叢聚分析，將每份文章出現各詞彙叢聚的頻率做為自組織映射網路的輸入變數，利用網路神經元自動群集的功能，將機器學習應用的分成10大領域，最後配合文章發表年份進行趨勢分析，找出各研究領域的歷史脈絡，並進一步預測未來可能趨勢。 This paper introduces the new concept for data mining manipulation. The research utilizes a document clustering technology to gain the homogeneous glossaries in each article at SSCI database, and forwarding toward onto the literature cluster assay. To select the term frequency indexes which generated by the glossaries aggregation as the parameters of the Self-Organization Map (SOM) network, proceeding the network neuron automatic clustering function, it is to strengthen the discovering ability through the historical tracking and gathering the results from various research domain, and forecasting the future possible research tendency.
Relation:	長榮大學學報.14(2),1-16
Data Type:	article
Appears in Collections:	[資訊管理學系] 期刊論文

Files in This Item:

File	Description	Size	Format
14-2-1.pdf		630Kb	Adobe PDF2	5146	View/Open

社群 sharing

著作權政策宣告 Copyright Announcement

1.本網站之數位內容為國立政治大學所收錄之機構典藏，無償提供學術研究與公眾教育等公益性使用，惟仍請適度，合理使用本網站之內容，以尊重著作權人之權益。商業上之利用，則請先取得著作權人之授權。
The digital content of this website is part of National Chengchi University Institutional Repository. It provides free access to academic research and public education for non-commercial use. Please utilize it in a proper and reasonable manner and respect the rights of copyright owners. For commercial use, please obtain authorization from the copyright owner in advance.

2.本網站之製作，已盡力防止侵害著作權人之權益，如仍發現本網站之數位內容有侵害著作權人權益情事者，請權利人通知本網站維護人員(nccur@nccu.edu.tw)，維護人員將立即採取移除該數位著作等補救措施。
NCCU Institutional Repository is made to protect the interests of copyright owners. If you believe that any material on the website infringes copyright, please contact our staff(nccur@nccu.edu.tw). We will remove the work from the repository and investigate your claim.

Loading...