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題名 Data Analysis
作者 Chen, Arbee L. P.
陳良弼
貢獻者 資訊科學系
關鍵詞 classification;clustering;internet;rough set;association mining
日期 2007-12
上傳時間 26-Oct-2015 17:41:22 (UTC+8)
摘要 In this article, we describe the concepts and techniques of data analysis. Two categories, supervised data analysis and unsupervised data analysis, are first presented according to their different initial conditions and resultant uses. Two methods for data analysis are then described and illustrated by examples, which are based on probability theory and fuzzy-set theory, respectively. Following this introduction of the fundamental data analysis methods, the methods for data analysis on two types of Internet data, web page and web log, are presented. Further discussions on advanced methods for Internet data analysis are then provided, which are based on rough-set theory and association mining concepts. Finally, we bring this article to a conclusion with the research trends highlighted.
關聯 Wiley Encyclopedia of Computer Science and Engineering
資料類型 article
DOI http://dx.doi.org/10.1002/9780470050118.ecse092
dc.contributor 資訊科學系
dc.creator (作者) Chen, Arbee L. P.
dc.creator (作者) 陳良弼zh_TW
dc.date (日期) 2007-12
dc.date.accessioned 26-Oct-2015 17:41:22 (UTC+8)-
dc.date.available 26-Oct-2015 17:41:22 (UTC+8)-
dc.date.issued (上傳時間) 26-Oct-2015 17:41:22 (UTC+8)-
dc.identifier.uri (URI) http://nccur.lib.nccu.edu.tw/handle/140.119/79048-
dc.description.abstract (摘要) In this article, we describe the concepts and techniques of data analysis. Two categories, supervised data analysis and unsupervised data analysis, are first presented according to their different initial conditions and resultant uses. Two methods for data analysis are then described and illustrated by examples, which are based on probability theory and fuzzy-set theory, respectively. Following this introduction of the fundamental data analysis methods, the methods for data analysis on two types of Internet data, web page and web log, are presented. Further discussions on advanced methods for Internet data analysis are then provided, which are based on rough-set theory and association mining concepts. Finally, we bring this article to a conclusion with the research trends highlighted.
dc.format.extent 137 bytes-
dc.format.mimetype text/html-
dc.relation (關聯) Wiley Encyclopedia of Computer Science and Engineering
dc.subject (關鍵詞) classification;clustering;internet;rough set;association mining
dc.title (題名) Data Analysis
dc.type (資料類型) articleen
dc.identifier.doi (DOI) 10.1002/9780470050118.ecse092
dc.doi.uri (DOI) http://dx.doi.org/10.1002/9780470050118.ecse092