Navin Kumar Tyagi's research while affiliated with Marathwada Institute of Technology and other places
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Publications (4)
Web usage mining is an application of Web mining which focus on the extraction of useful information from usage data of severs logs. In order to improve the usability of a Web site so that users can more easily find and retrieve information they are looking for, we proposed a recommendation methodology based on correlation rules. A correlation rule...
Web server logs stores click stream data which can be useful for mining purposes. The data is stored as a result of user's access to a website. Web usage mining an application of data mining can be used to discover user access patterns from weblog data. The obtained results are used in different applications like, site modifications, business intel...
Web usage Mining is an area of web mining which deals with the extraction of interesting knowledge from logging information produced by web server. Different data mining techniques can be applied on web usage data to extract user access patterns and this knowledge can be used in variety of applications such as system improvement, web site modificat...
In business, web traffic analysis plays a greater role and it is relatively a new market segment. With the development of World Wide Web (WWW), companies are beginning to get more sophisticated about how they use their web sites and want to know how to increase their return on investment (ROI). This paper reviews the business trends with web traffi...
Citations
... In [13], authors proposed an effective prediction of web user behavior with user level models. Tyagi et al. [14] proposed a user behavior prediction technique using correlation rules. A correlation rule is measured not only by its support and confidence but also by the correlation between item-sets. ...
... Os dados coletados podem conter vários problemas, como valores ausentes, dados falsos, dados duplicados e falta de padronização [Batista et al. 2018]. Tais problemas geralmente são resolvidos na etapa de pré-processamento de dados, que requer cerca de 80% do tempo de cientistas de dados [Tyagi et al. 2010]. ...
![[object Object]](https://i1.rgstatic.net/ii/profile.image/841863716159492-1577727359581_Q64/Sanjay-Tyagi-4.jpg)
... Weblog mining refers to the application of data mining techniques to identify usage patterns from Weblog data, which help organisations learn about their customers and improve web applications (Benevenuto et al., 2012;Kaur and Aggarwal, 2015). Analysing log files is one of the most effective tools in allocating marketing efforts for service providers (Tyagi et al., 2010). Existing Weblog mining research in the marketing context mainly focused on understanding the role of the internet as a new channel for advertising, browsing and usage behaviours of the internet, and online shopping behaviours (Bucklin and Sismeiro, 2009). ...
