Open AccessWeb mining and Web usage mining techniques
Author(s) -
Nasrin Jokar,
Ali Reza Honarvar,
Shima Aghamirzadeh,
Khadijeh Esfandiari
Publication year - 2016
Publication title -
bulletin de la société royale des sciences de liège
Language(s) - English
Resource type - Journals
ISSN - 1783-5720
DOI - 10.25518/0037-9565.5371
Subject(s) - web mining , web intelligence , data web , computer science , web modeling , world wide web , web standards , association rule learning , web analytics , web development , web navigation , web mapping , web page , data mining
Computers promise that be as a repository of knowledge and wisdom, but instead, they sent us large amounts of data, web mining is the process of information discovery and knowledge from the Web data. The data is collected from the server, client, proxy server or database in Web mining. Web mining methods are divided into three categories: web content mining, web structure mining and web usage mining. There are several functional areas including e-commerce web mining, text mining, and management of customer behavior. Web mining research focuses on developing knowledge extraction techniques which are used for data analysis. 3 main methods that are used for data mining in web include: association or association rules, sequential patterns, and clustering requirements. The main objective of the web mining is to collect information about the user navigation patterns. Of course, web mining is faced with various challenges and constraints. And many researches are currently doing research in the field of web mining that aim to solve this problem.