Description

Here we study rank time series to explore their relations among the top items. Thus we have analyzed the browser history dataset using Sqlite browser database dll. The Wikipedia browser history dataset is very enormous in amount as the viewers are vast growing. In terms of analyzing Wikipedia content, data-mining strategies may not satisfy users various needs for investigating the long-term Wikipedia page ranking trends. Existing visualization solutions may be able to satisfy different user’s needs, but they usually fall into two solution categories, scattered and continuous, both of which have severe limitations. Here we proposed a Wiki-Top-Reader that not only visualizes Wikipedia page-ranking trends, but also constructs a ranking network for every given Wikipedia page of interest. Three solution categories like top k search, most recommended search and keyword based search is performed effectively