Web Mining: Exploring Efficient Methods for Website Improvement - Sharma, Arvind K.
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Nowadays, with the tremendous growth of the data sources available on the World Wide Web and the dramatic popularity of e-commerce in the business community, the Web mining has become a very hot research topic that focuses on quite a few research works. Web usage mining deals with understanding user's behaviour with a website. It helps in understanding the concerns such as present and future probability of every website user, relationship between behaviour and website usability. The fundamental role of web usage mining is to capture, analyze and model the web logs. Usually it discovers the…mehr

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Produktbeschreibung
Nowadays, with the tremendous growth of the data sources available on the World Wide Web and the dramatic popularity of e-commerce in the business community, the Web mining has become a very hot research topic that focuses on quite a few research works. Web usage mining deals with understanding user's behaviour with a website. It helps in understanding the concerns such as present and future probability of every website user, relationship between behaviour and website usability. The fundamental role of web usage mining is to capture, analyze and model the web logs. Usually it discovers the usage behaviour of the Web users. This discovered information can be used in a variety of ways such as improvement of the website, web application, predicting the user's behaviour and interest, checking of fraudulent elements etc.
Autorenporträt
Dr. Arvind K. Sharma holds PhD degree in Computer Science. He has more than thirteen years of work experience in academic fields. He has published more than forty papers in various National, International Journals and Conferences. His research domain includes Web Mining, Opinion Mining, Web Engineering, Data Analytics & Machine Learning Tools.