Mining frequent closed itemsets provides complete and condensed information for non-redundant association rules generation. Extensive studies have been done on mining frequent clo...
Burst detection is the activity of finding abnormal aggregates in data streams. Such aggregates are based on sliding windows over data streams. In some applications, we want to mo...
Continuous time-series sequence matching, specifically, matching a numeric live stream against a set of predefined pattern sequences, is critical for domains ranging from fire spr...
Abhishek Mukherji, Elke A. Rundensteiner, David C....
Rapidly changing environments such as robots, sensor networks, or medical services are emerging. To deal with them, DBMS should persist sensor data streams instantaneously. To achi...
The increased use of video data sets for multimedia-based applications has created a demand for strong video database support, including efficient methods for handling the content...
Walid G. Aref, Moustafa A. Hammad, Ann Christine C...