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

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

AD-C : a new node anomaly detection based on community detection in social networks

Keyvanpour, Mohammad Reza; Barani Shirzad, Mehrnoush; … - In: International journal of electronic business : IJEB 15 (2020) 3, pp. 199-222

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

StockProF : a stock profiling framework using data mining approaches

Ng, Keng-Hoong; Khor, Kok-Chin - In: Information systems and e-business management : ISeB 15 (2017) 1, pp. 139-158

Persistent link: https://www.econbiz.de/10011711681

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

Persistent link: https://www.econbiz.de/10012523500

K-NN Based Outlier Detection Technique on Intrusion Dataset

Sahu, Santosh Kumar; Jena, Sanjay Kumar; Verma, Manish - In: International Journal of Knowledge Discovery in … 7 (2017) 1, pp. 58-70

Outliers in the database are the objects that deviate from the rest of the dataset by some measure. The Nearest Neighbor Outlier Factor is considering to measure the degree of outlier-ness of the object in the dataset. Unlike the other methods like Local Outlier Factor, this approach shows the...

Persistent link: https://www.econbiz.de/10012046205