Clickstream Analytics: An Experimental Analysis of the Amazon Users' Simulated Monthly Traffic

Xylogiannopoulos, Konstantinos F.; Karampelas, Panagiotis; Alhajj, Reda

doi:10.1109/asonam.2018.8508353

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“…They presented three case studies showing advantages of the iterative feature pruning algorithm in identifying inactive, hostile and malicious user behaviours in two real-world online social networks. Other researchers have successfully used clickstream data to detect malicious social bots [10,6], model user engagement [5] and identify e-commerce item access patterns [15].…”

Section: Introductionmentioning

confidence: 99%