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» STREAM: The Stanford Stream Data Manager
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SIGMOD
2010
ACM
144views Database» more  SIGMOD 2010»
13 years 12 months ago
Interactive visual exploration of neighbor-based patterns in data streams
We will demonstrate our system, called V iStream, supporting interactive visual exploration of neighbor-based patterns [7] in data streams. V istream does not only apply innovativ...
Di Yang, Zhenyu Guo, Zaixian Xie, Elke A. Rundenst...
KDD
2003
ACM
192views Data Mining» more  KDD 2003»
14 years 8 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
KDD
2000
ACM
121views Data Mining» more  KDD 2000»
13 years 11 months ago
Mining high-speed data streams
Many organizations today have more than very large databases; they have databases that grow without limit at a rate of several million records per day. Mining these continuous dat...
Pedro Domingos, Geoff Hulten
COLCOM
2007
IEEE
14 years 1 months ago
Privacy protection on sliding window of data streams
—In many applications, transaction data arrive in the form of high speed data streams. These data contain a lot of information about customers that needs to be carefully managed ...
Weiping Wang 0001, Jianzhong Li, Chunyu Ai, Yingsh...
WISE
2006
Springer
14 years 1 months ago
Efficient Filtering Query Indexing in Data Stream
Filtering queries are widely used in data stream applications. As more and more filtering queries are registered in high-speed data stream management system, the processing efficie...
Ying Wang, Shuo Bai, Jianlong Tan, Li Guo