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KDD
2006
ACM
198views Data Mining» more  KDD 2006»
16 years 6 months ago
CFI-Stream: mining closed frequent itemsets in data streams
Mining frequent closed itemsets provides complete and condensed information for non-redundant association rules generation. Extensive studies have been done on mining frequent clo...
Nan Jiang, Le Gruenwald
KDD
2003
ACM
192views Data Mining» more  KDD 2003»
16 years 6 months ago
Efficient elastic burst detection in data streams
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...
Yunyue Zhu, Dennis Shasha
CIKM
2008
Springer
15 years 8 months ago
SNIF TOOL: sniffing for patterns in continuous streams
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....
DAWAK
2006
Springer
15 years 10 months ago
Providing Persistence for Sensor Data Streams by Remote WAL
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...
Hideyuki Kawashima, Michita Imai, Yuichiro Anzai
MMDB
2003
ACM
178views Multimedia» more  MMDB 2003»
15 years 11 months ago
Video query processing in the VDBMS testbed for video database research
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...