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Search logs, which contain rich and up-to-date information about users' needs and preferences, have become a critical data source for search engines. Recently, more and more data-driven applications are being developed in search engines based on search logs, such as query suggestion, keyword bidding, and dissatisfactory query analysis. In this paper, by observing that many data-driven applications in search engines highly rely on online mining of search logs, we develop an OLAP system on searchdoi:10.1145/1557019.1557168 dblp:conf/kdd/ZhouJPL09 fatcat:xg3hse6vwjeubc4vcpvcypfpzy