Titlebook: Computer Networks and Intelligent Computing; 5th International Co K. R. Venugopal,L. M. Patnaik Conference proceedings 2011 Springer-Verlag

項(xiàng)目

惰性氣體

stroke

帳單

事情

我就不公正

Apriori-based Research Community Discovery in Bibliographic Databaseh collaborators. However, Bibliographic Database contains a huge number of sequential data that exhibit emergent patterns of behavior. Finding inherent regularities in data is still a very challenging task. This paper proposes a novel method to discover research community through association mining.

Affection

Improving the Precision and Recall of Web People Search Using Hash Table Clustering improve the precision, recall and F-measure metrics of the web search engine by removing the unwanted resulting web pages and the proposed method outperforms by 15.9 percent of F-measure improvement as compared to WWW2005 algorithm.

MOAT

慢慢沖刷

Test for Dynamic Stress and Straing the concept of fuzziness into the spatial relationships existing between the anatomical structures. The utility of the association rules extracted is analyzed through the interestingness measures computed, and it is thereby concluded that the rules mined are highly relevant.

incarcerate