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» Modeling skew in data streams
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ICDM
2007
IEEE
254views Data Mining» more  ICDM 2007»
14 years 4 months ago
Sampling for Sequential Pattern Mining: From Static Databases to Data Streams
Sequential pattern mining is an active field in the domain of knowledge discovery. Recently, with the constant progress in hardware technologies, real-world databases tend to gro...
Chedy Raïssi, Pascal Poncelet
PVLDB
2010
134views more  PVLDB 2010»
13 years 8 months ago
Conditioning and Aggregating Uncertain Data Streams: Going Beyond Expectations
Uncertain data streams are increasingly common in real-world deployments and monitoring applications require the evaluation of complex queries on such streams. In this paper, we c...
Thanh T. L. Tran, Andrew McGregor, Yanlei Diao, Li...
ICSNC
2007
IEEE
14 years 4 months ago
Efficient Transformation Scheme for Indexing Continuous Queries on RFID Streaming Data
RFID data are usually regarded as streaming data that are huge and change frequently because they are gathered continuously by numerous readers. RFID middleware filters the data a...
Jaekwan Park, Bonghee Hong, ChaeHoon Ban
CIDR
2009
157views Algorithms» more  CIDR 2009»
13 years 11 months ago
Capturing Data Uncertainty in High-Volume Stream Processing
We present the design and development of a data stream system that captures data uncertainty from data collection to query processing to final result generation. Our system focuse...
Yanlei Diao, Boduo Li, Anna Liu, Liping Peng, Char...
KAIS
2008
150views more  KAIS 2008»
13 years 9 months ago
A survey on algorithms for mining frequent itemsets over data streams
The increasing prominence of data streams arising in a wide range of advanced applications such as fraud detection and trend learning has led to the study of online mining of freq...
James Cheng, Yiping Ke, Wilfred Ng