Towards microaggregation of log files for Web usage mining in B2C e-commerce

2009 ◽  
Author(s):  
Guillermo Navarro-Arribas ◽  
Vicenc Torra
Keyword(s):  
Web Usage Mining ◽  
Web Usage ◽  
Log Files

They Know What You Will Do Next Click

2020 ◽  
pp. 100-122
Author(s):  
Serra Çelik
Keyword(s):  
Focus Group ◽  
User Behavior ◽  
Web Usage Mining ◽  
Web Log ◽  
Web Usage ◽  
User Behaviors ◽  
Log Files ◽  
The Web

This chapter focuses on predicting web user behaviors. When web users enter a website, every move they make on that website is stored as web log files. Unlike the focus group or questionnaire, the log files reflect real user behavior. It can easily be said that having actual user behavior is a gold value for the organizations. In this chapter, the ways of extracting user patterns (user behavior) from the log files are sought. In this context, the web usage mining process is explained. Some web usage mining techniques are mentioned.

Web Usage Minning using Patterns with Different Algorithm

2017 ◽  
pp. 1-9
Author(s):  
Keyword(s):  
Data Mining ◽  
Web Usage Mining ◽  
Data Discovery ◽  
Web Log ◽  
Data Usage ◽  
Web Usage ◽  
Log Files ◽  
Content Mining ◽  
User Data ◽  
Data Content

Web usage mining is a part of data mining. Data usage mining is divided into three parts 1) Data content mining 2) Data structured mining 3) Data usage mining. In this paper I am discussing about log files which are used in data usage mining. Log files are used to store user’s activity in web server using websites. So that websites can be improved by gathering user data. Web usage mining having three sub parts which is reprocessing, data discovery and data analysis. Further, in this paper, details about web log files are discussed. Three algorithms are discussed which are used for patterns of log files. There comparison is showed in this paper with the help of graphs.

scholarly journals Web Usage Mining: A Survey on Pattern Extraction from Web Logs

2011 ◽  
pp. 15-23
Author(s):  
S. K. Pani ◽  
L. Panigrahy ◽  
V.H. Sankar ◽  
A.K. Manda ◽  
S.K. Padhi ◽  
...  
Keyword(s):  
Web Usage Mining ◽  
Pattern Extraction ◽  
User Behaviour ◽  
Web Usage ◽  
Log Files ◽  
Web Logs ◽  
Interesting Pattern ◽  
Web Access ◽  
The Web

As the size of web increases along with number of users, it is very much essential for the website owners to better understand their customers so that they can provide better service, and also enhance the quality of the website. To achieve this they depend on the web access log files. The web access log files can be mined to extract interesting pattern so that the user behaviour can be understood. This paper presents an overview of web usage mining and also provides a survey of the pattern extraction algorithms used for web usage mining.

A Survey of Web-Usage Mining

2011 ◽  
pp. 125-149 ◽  
Author(s):  
Martha Koutri ◽  
Nikolaos Avouris ◽  
Sophia Daskalaki
Keyword(s):  
Pattern Mining ◽  
User Model ◽  
Web Usage Mining ◽  
Web Usage ◽  
Log Files ◽  
Adaptive Hypermedia Systems ◽  
Usage Patterns ◽  
Web Access ◽  
Access Data ◽  
Mining Association Rule

This chapter discusses Web usage mining techniques that can be applied for building adaptive hypermedia systems. These techniques are used for uncovering hidden patterns within Web access data and then for building the user model that lies in the heart of each adaptive system. Web access data, traditionally stored in the server log files, constitute a rich source of data collected in a non-intrusive way that guards the privacy of users. Several Web usage mining approaches have been proposed for exposing usage patterns, with the most prominent ones being cluster mining, association rule mining, and sequential pattern mining. This chapter provides an overview of the state of the art in research of Web usage mining, and discusses the most relevant criteria for deciding on the suitability of these techniques for building an adaptive Web site. Moreover, the different types of patterns revealed from Web usage mining are correlated with different adaptation aspects.

scholarly journals Automated User Behavior Mapping Using Web Usage Mining

2020 ◽  
Vol 6 (12) ◽  
pp. 257-261
Author(s):  
IJMTST061248
Keyword(s):  
Real Time ◽  
User Behavior ◽  
Web Usage Mining ◽  
Time Behavior ◽  
End User ◽  
Web Page ◽  
The Real ◽  
Web Log ◽  
Web Usage ◽  
Log Files

Automated User Behavior Mapping is an application of web usage mining using which we can see the real-time behavior of end user visiting a particular web page automatically. The technologies used in this are socket programming for real-time communication between the server and the user accessing the website for collection of web log data and selenium web driver for automating the user behavior using web log files.

A Web Usage Mining Approach to User Navigation Pattern and Prediction in Web Log Data

2012 ◽  
Vol 3 (4) ◽  
pp. 92-94
Author(s):  
SUJATHA PADMAKUMAR ◽  
◽  
Dr.PUNITHAVALLI Dr.PUNITHAVALLI ◽  
Dr.RANJITH Dr.RANJITH
Keyword(s):  
Web Usage Mining ◽  
Log Data ◽  
Web Log ◽  
Web Usage ◽  
User Navigation
Sign in / Sign up

Export Citation Format

Share Document