政大機構典藏-National Chengchi University Institutional Repository(NCCUR):Item 140.119/78976

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政大機構典藏 > 商學院 > 資訊管理學系 > 會議論文 > Item 140.119/78976

Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/78976

Title:	Trend analysis of machine learning -A text mining and document clustering methodology
Authors:	Yang, JiannMin;Liao, W.-C. 楊建民
Contributors:	資訊管理學系
Keywords:	Application domains;Automatic clustering;Document clustering;Input variables;Machine-learning;Operation efficiencies;Research areas;Self-organizations;Social science citation indices;Term Frequency;Text mining;Trend analysis;Cluster analysis;Education;Glossaries;Information retrieval;Mining;Neural networks;Robot learning;Research
Date:	2009
Issue Date:	2015-10-16 15:33:57 (UTC+8)
Abstract:	The Machine Learning is certificated as one of the most important technologies in today`s world. There are several various researches applying Machine Learning to improve its operation efficiency in many different aspects. Based on the Social Science Citation Index (SSCI) database, this research is using text mining technology which collecting the homogeneous glossaries in the articles, conducting to the literature cluster analysis. To select the term frequency index which generated by various glossaries aggregation from each article as well as an input variable for Self-Organization map (SOM) network, following by utilizing the network neuron automatic clustering function, dividing into 10 application domains of machine learning, finally proceeding the trend analysis coordinated with the articles by published year, discovering the historical vein and collecting the results by each research area, and further forecasting the future possible tendency. © 2009 IEEE.
Relation:	Proceedings - 2009 International Conference on New Trends in Information and Service Science, NISS 2009,481-485
Data Type:	conference
DOI 連結:	http://dx.doi.org/10.1109/NISS.2009.176
DOI:	10.1109/NISS.2009.176
Appears in Collections:	[資訊管理學系] 會議論文

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