This short article is a complementary note on the article "Web log analysis method" by Hajar Sotudeh published in Informology (Vol.1, No.2, pp.69-84) which discussed methodological aspects of the Web log analysis method. The present note explains some of the technical problems of the method including caching, user identification, session continuity, effects of spiders and robots, size of data and disadvantages of proprietary web log analysis softwares. Some techniques for improving the quality of research output of the web log analysis are also described
Abstract — Web mining is to discover and extract useful information. In the internet era web applica...
Abstract: Problem statement: In the internet era web sites on the internet are useful source of info...
Activities at enterprise-class web sites, as well as other web sites, are usually recorded via web l...
In the last decade, the importance of analyzing information management systems logs has grown, becau...
Log files contain information about User Name, IP Address, Time Stamp, Access Request, number of Byt...
Web log data or click stream data has alot of valuable information about a web site orweb site visit...
Abstract — The paper discusses about browsing behavior of the user and the user’s interest, the tech...
Part 6: Load Balancing, Analysis, and ManagementInternational audienceWeb logs are an important sour...
Using logs to detect and diagnose problems in software systems is no longer a feasible human process...
per user requirements. The log files are maintained by the web servers. By analyzing these log files...
Abstract:Internet is a vast source of information or we can say that internet work as a mine of info...
One of the main tasks of web log mining is discovering patterns of behaviour of portal visitors. B...
In this era of World Wide Web, where gigantic amount of data is being generated by visitors and auto...
With the explosive growth of information available on internet, WWW become the most powerful platfor...
In this paper, a general methodology for gathering and mining information from Web log files is prop...
Abstract — Web mining is to discover and extract useful information. In the internet era web applica...
Abstract: Problem statement: In the internet era web sites on the internet are useful source of info...
Activities at enterprise-class web sites, as well as other web sites, are usually recorded via web l...
In the last decade, the importance of analyzing information management systems logs has grown, becau...
Log files contain information about User Name, IP Address, Time Stamp, Access Request, number of Byt...
Web log data or click stream data has alot of valuable information about a web site orweb site visit...
Abstract — The paper discusses about browsing behavior of the user and the user’s interest, the tech...
Part 6: Load Balancing, Analysis, and ManagementInternational audienceWeb logs are an important sour...
Using logs to detect and diagnose problems in software systems is no longer a feasible human process...
per user requirements. The log files are maintained by the web servers. By analyzing these log files...
Abstract:Internet is a vast source of information or we can say that internet work as a mine of info...
One of the main tasks of web log mining is discovering patterns of behaviour of portal visitors. B...
In this era of World Wide Web, where gigantic amount of data is being generated by visitors and auto...
With the explosive growth of information available on internet, WWW become the most powerful platfor...
In this paper, a general methodology for gathering and mining information from Web log files is prop...
Abstract — Web mining is to discover and extract useful information. In the internet era web applica...
Abstract: Problem statement: In the internet era web sites on the internet are useful source of info...
Activities at enterprise-class web sites, as well as other web sites, are usually recorded via web l...