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Persistent link: https://www.econbiz.de/10012271204

Automated clustering for data analytics

Byrnes, Paul E. - In: Journal of emerging technologies in Accounting 16 (2019) 2, pp. 43-58

Persistent link: https://www.econbiz.de/10012416672

StockProF : a stock profiling framework using data mining approaches

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Analysis of enterprise social media intelligence acquisition based on data crawler technology

Yu, Lehe; Gui, Zhengxiu - In: Entrepreneurship research journal : ERJ 11 (2021) 2, pp. 3-23

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LOCAL PECULIARITY ORIENTED DATA MINING AND ITS APPLICATION IN OUTLIER DETECTION

YANG, JIAN; ZHONG, NING; YAO, YIYU; WANG, JUE - In: International Journal of Information Technology & … 11 (2012) 06, pp. 1155-1181

Peculiarity oriented mining (POM), aimed at discovering peculiarity rules hidden in a dataset, is a data mining method. Peculiarity factor (PF) is one of the most important concepts in POM. In this paper, it is proved that PF can accurately characterize the peculiarity of data sampled from a...

Persistent link: https://www.econbiz.de/10010598521