Mining and tracking evolving web user trends from large web server logs

DOI10.1002/SAM.10069OpenAlexW4238409877MaRDI QIDQ4969709

Basheer Hawwash, Olfa Nasraoui

Publication date: 14 October 2020

Published in: Statistical Analysis and Data Mining: The ASA Data Science Journal (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1002/sam.10069

zbMATH Keywords

clusteringevolutiondata streamspersonalizationweb usage mininguser profilesconcept driftsweb analytics

Mathematics Subject Classification ID

Statistics (62-XX) Computer science (68-XX)

Cites Work

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Related Items (3)

Modeling correlations in web traces and implications for designing replacement policies ⋮ Unnamed Item ⋮ Analysis of large data logs: An application of Poisson sampling on excite web queries.

Uses Software

• WUM

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