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Proceedings of the 2003 ACM SIGMOD international conference on on Management of data - SIGMOD '03
In recent years, the progress in hardware technology has made it possible for organizations to store and record large streams of transactional data. This results in databases which grow without limit at a rapid rate. This data can often show important c hanges in trends over time. In such cases, it is useful to understand, visualize and diagnose the evolution of these trends. When the data streams are fast and continuous, it becomes important to analyze and predict the trends quickly in onlinedoi:10.1145/872824.872826 fatcat:jca5gfgxzvddbgtowfnhadgis4