ItemPhD

Web user access log analytics using neural learning regression and logit boost clustering techniques for accurate user behavioural pattern identification

R Gokulapriya - 1560078.pdf
Title
Web user access log analytics using neural learning regression and logit boost clustering techniques for accurate user behavioural pattern identification
Creator
R Gokulapriya - 1560078
Date
2023-10-26
Publisher
CHRIST (Deemed to be University)
Subject
Computer Science and Engineering
Language
English
Type
PhD

Collection

Thesis

Citation

R Gokulapriya - 1560078, “Web user access log analytics using neural learning regression and logit boost clustering techniques for accurate user behavioural pattern identification,” CHRIST (Deemed To Be University) Institutional Repository, accessed March 10, 2025, https://archives.christuniversity.in/items/show/2826.

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