抽象的

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.

免责声明: 此摘要通过人工智能工具翻译,尚未经过审核或验证

索引于

谷歌学术
学术期刊数据库
打开 J 门
学术钥匙
研究圣经
引用因子
电子期刊图书馆
参考搜索
哈姆达大学
学者指导
国际创新期刊影响因子(IIJIF)
国际组织研究所 (I2OR)
宇宙

查看更多