International Journal of Computer Applications
Traditional databases store relatively static data or solid facts on which queries are executed and answers are reflected on the current state of the database. Many applications involving large databases with uncertain data require various techniques to rank queries. Ranking queries (often called as top-k) are useful in answering most important query answers in various domains such as web search, managing sensor data, location tracking, data mining tasks and multimedia. In this survey paper, the authors describe and classify different top-k processing techniques in probabilistic databases and their implications.