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Study of Knowledge Discovery in Social Network Data Mining

摘要


Data mining as a high-tech subject is increasingly popular than before. Some data mining methods、data mining algorithms and application in social networks is introduced here. Especially, some specific social networks datasets are used to analyze the characters of social networks, the datasets are analyzed from aspects of link proportion、adjacency、out-degree、 in-degree、similarity、clustering、distance、density、transitivity、groups and reachability. Some innovative data mining knowledge of social networks can be drawn by analyzing a crowd of data sets.

被引用紀錄


詹千慧(2015)。以決策樹結合領域導向方法挖掘不可預期模式〔博士論文,淡江大學〕。華藝線上圖書館。https://doi.org/10.6846/TKU.2015.00441
李卓銘(2013)。應用領域導向方法探勘電信與醫療資料〔博士論文,淡江大學〕。華藝線上圖書館。https://doi.org/10.6846/TKU.2013.00540
Sun, C. H. (2011). 使用隨機派翠網路之線上網頁推薦系統 [doctoral dissertation, Tamkang University]. Airiti Library. https://doi.org/10.6846/TKU.2011.01087
張芝榮 (2013). 相對重要性與區域社群偵測 [master's thesis, National Tsing Hua University]. Airiti Library. https://doi.org/10.6843/NTHU.2013.00731
Peng, Y. K. (2006). 應用曲線擬合建立資料串流之摘要結構 [master's thesis, National Tsing Hua University]. Airiti Library. https://doi.org/10.6843/NTHU.2006.00094

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