An Attributes Correlation Based Approach for Estimating Size of Web Databases
基于属性相关度的Web数据库大小估算方法

An approach based on the word frequency is proposed in this paper to estimate the size of Web database. It obtains a random sample on a certain attribute by analyzing the attribute correlations among all the textual attributes in the query interface. The size of a Web database can be estimated by submitting probing queries which are generated by top-k frequent words to the query interface of a Web database. The experiments on several real-world databases have proved that this approach is effective and can achieve high accuracy in estimating the size of Web databases.