Online behavior recommendation is an attractive research topic related to social media
mining. This topic focuses on suggesting suitable behaviors for users in online platforms …

Abstract Web Navigation Prediction is a popular area of research as users on the web are
continuously growing. Capturing users' behavior provides insights about the user demands …

With the increase of rich datasets from various online platforms, predicting user behavior has
been one of the most active research topics. The user behavior on these online platforms …

With the number of users on the Web increasing sharply, how to effectively verify users'
identities in order to prevent account theft as well as identity fraud is urging. In this paper, we …

Due to the continued growth threat in Phishing, a kind of stable identity authentication
method is highly needed based on individual characteristics just like browsing behaviors …

Clustering of the web sessions to identify the vis-itors' choices while browsing the web
pages, is an important problem in web mining. The sequence of pages viewed by the user in …

DDoS flooding attack is a critical threat to the normal operation of network. However, current
feature-based detection methods are cheated by hackers easily and most of these …

Abstract Web Navigation Prediction (WNP) has been popularly used for finding future
probable web pages. Obtaining relevant information from a large web is challenging, as its …

This paper introduces an observational framework for measuring the effects of display
advertising. Causal measurement of display ad effects using observational data presents a …

Purpose The purpose of the study is to use web serer logs in analyzing the changes of user
behavior in reading online news, in terms of desktop and mobile users. Advances in mobile …