Abstracto

SEARCHING IMPROVEMENT IN BLOGS USING DATA MINING TECHNIQUES

Robin Singh Bhadoria

To evaluate the system, we experiment on sports blogs and collect user’s feedbacks. This paper focus Web 2.0 communication tool, generally a website maintained by an individual user or by a group of users with regular entries of commentaries, descriptions of events, videos, etc. In these approach significant intervals for each Website are computed first (independently) and these interval used for detecting frequent patterns and then the Analysis is performed on Significant Intervals and frequent patterns. We concentrated on blogger search in blogs – in particular, who are the top authors for blogs of a particular topic. All blogs and their interconnections are collectively called the blogosphere. In this paper, a new graph structure known as blogger graph is proposed in the blogosphere based on the bloggers information. Results show that we can identify the top bloggers with a high precision.

Descargo de responsabilidad: este resumen se tradujo utilizando herramientas de inteligencia artificial y aún no ha sido revisado ni verificado.

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Universidad Hamdard
director académico
Factor de impacto de revistas innovadoras internacionales (IIJIF)
Instituto Internacional de Investigación Organizada (I2OR)
Cosmos

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