Machine learning to detect anomalies in web log analysis

Q Cao, Y Qiao, Z Lyu - 2017 3rd IEEE international conference …, 2017 - ieeexplore.ieee.org
As the information technology develops rapidly, Web servers are easily to be attacked
because of their high value. Therefore, Web security has aroused great concern in both …

Web log cleaning for mining of web usage patterns

TT Aye - 2011 3rd International Conference on Computer …, 2011 - ieeexplore.ieee.org
Web usage mining (WUM) is a type of Web mining, which exploits data mining techniques to
extract valuable information from navigation behavior of World Wide Web users. The data …

Cluster-N-Engage: A New Framework for Measuring User Engagement of Website With User Navigational Behavior

ZY Lim, LY Ong, MC Leow - IEEE Access, 2023 - ieeexplore.ieee.org
User engagement is a part of user experience that measures how attracted the users are in
using a certain product or services. The level of user attention while navigating a website is …

[PDF][PDF] Web Server Logs Preprocessing for Web Intrusion Detection.

SE Salama, MI Marie, LM El Fangary… - Comput. Inf …, 2011 - pdfs.semanticscholar.org
Securing e-commerce sites has become a necessity as they process critical and sensitive
data to customers and organizations. When a customer navigates through an e-commerce …

Measuring the use of the active and assisted living prototype CARIMO for home care service users: evaluation framework and results

C Schneider, B Trukeschitz, H Rieser - Applied Sciences, 2019 - mdpi.com
To address the challenges of aging societies, various information and communication
technology (ICT)-based systems for older people have been developed in recent years …

Semi-supervised self-training approach for web robots activity detection in weblog

RR Jagat, DS Sisodia, P Singh - Evolutionary Computing and Mobile …, 2022 - Springer
Due to the significant added value of web servers, they are vulnerable to attacks, so web
security has received a lot of attention. Web server logging systems that record each user …

[PDF][PDF] Data preprocessing and cleansing in web log on ontology for enhanced decision making

FMH Fernandez, R Ponnusamy - Indian Journal …, 2016 - sciresol.s3.us-east-2.amazonaws …
Abstract Background/Objectives: Web applications are growing at a massive promptness
and its users rise at exponential speed. The deviations in technology have made it potential …

[PDF][PDF] A novel semantically-time-referrer based approach of web usage mining for improved sessionization in pre-processing of web log

N Kaur, H Aggarwal - International journal of advanced …, 2017 - pdfs.semanticscholar.org
Log Mining is the application of Data Mining techniques, which are applied on large volume
of data to extract useful and interesting user behaviour patterns from web logs, in order to …

Analysis of web site using web log expert tool based on web data mining

SP Singh - 2017 International Conference on Innovations in …, 2017 - ieeexplore.ieee.org
Web Usage Mining (WUM) is the part of Web Mining. There are data mining mechanism to
fetch and discover knowledge from the web data. Web usage mining uses data mining …

[PDF][PDF] Use of log data for predictive analytics through data mining

DGS Katkar, AD Kasliwal - Current Trends In Technology And Science, 2014 - cttss.in
The availability of the data of web accessed is in human readable form generated by
computer referred to as web log, provided by online sources, it make that data into day to …