Academic
Keywords
Web Usage Mining

WUM,Web Usage Mining

Web Usage Mining - WUM
Publications: 907| Citation Count: 8,285
Cumulative Annual
    • Web Usage Mining is an aspect of data mining that has received a lot of attention in recent years. Commercial companies as well as academic researchers have developed an extensive array of tools that perform several data mining algorithms on log files coming from web servers in order to identify user behaviour on a particular web site. Performing this kind of investigation on your web site can provide information that can be used to better accommodate the user's needs. An area that has received much less attention is the investigation of user behaviour on proxy servers...

    Jan Kerkhofset al. Web Usage Mining on Proxy Servers: A Case Study

    • Web Usage Mining (WUM) is the application of data mining techniques over web server logs in order to extract navigation usage patterns. Identifying the relevant and interesting patterns, and to understand what knowledge they represent in the domain is the goal of the Pattern Analysis phase, one of the phases of the WUM process...

    Mariângela Vanzinet al. Ontology-Based Rummaging Mechanisms for the Interpretation of Web Usag...

    • Web usage mining (WUM) is an important and fast developing area of web mining. Recently, some enterprises have been aware of its potentials, especially for applications in Business Intelligence (BI) and Customer Relationship Management (CRM). Therefore, it is crucial to analyze the behaviors and characteristics of web user so as to use this knowledge for advertising, targeted marketing, increasing competition ability, etc...

    Zhiwang Zhanget al. The Characteristic Analysis of Web User Clusters Based on Frequent Bro...

    • Web Usage Mining is the process of applying data mining techniques to the discovery of usage patterns from data extracted from Web Log files. It mines the secondary data (web logs) derived from the users' interaction with the web pages during certain period of Web sessions. Web usage mining consists of three phases, namely preprocessing, pattern discovery, and pattern analysis...

    Kobra Etminaniet al. Web Usage Mining: users' navigational patterns extraction from web log...

    • Web Usage Mining is a broad area of Web Mining which is associated with the Patterns extraction from logging information produced by web server. Web log mining is substantially the important part of Web Usage Mining (WUM) algorithm which involves transformation and interpretation of the logging information to predict the patterns as per different learning styles...

    Sucheta V. Kolekaret al. Acquisition of User’s Learning Styles Using Log Mining Analysis throug...

Sort by: