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» Differencing Data Streams
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130
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ICDE
2009
IEEE
171views Database» more  ICDE 2009»
15 years 9 months ago
CoTS: A Scalable Framework for Parallelizing Frequency Counting over Data Streams
Applications involving analysis of data streams have gained significant popularity and importance. Frequency counting, frequent elements and top-k queries form a class of operato...
Sudipto Das, Shyam Antony, Divyakant Agrawal, Amr ...
RTSS
2006
IEEE
15 years 8 months ago
Prediction-Based QoS Management for Real-Time Data Streams
With the emergence of large wired and wireless sensor networks, many real-time applications need to operate on continuous unbounded data streams. At the same time, many of these s...
Yuan Wei, Vibha Prasad, Sang Hyuk Son, John A. Sta...
135
Voted
ASC
2008
15 years 2 months ago
Info-fuzzy algorithms for mining dynamic data streams
Most data mining algorithms assume static behavior of the incoming data. In the real world, the situation is different and most continuously collected data streams are generated by...
Lior Cohen, Gil Avrahami, Mark Last, Abraham Kande...
109
Voted
ICDM
2007
IEEE
158views Data Mining» more  ICDM 2007»
15 years 9 months ago
On Appropriate Assumptions to Mine Data Streams: Analysis and Practice
Recent years have witnessed an increasing number of studies in stream mining, which aim at building an accurate model for continuously arriving data. Somehow most existing work ma...
Jing Gao, Wei Fan, Jiawei Han
154
Voted
ACIIDS
2009
IEEE
144views Database» more  ACIIDS 2009»
15 years 8 months ago
Processing Exact Results for Sliding Window Joins over Time-Sequence, Streaming Data Using a Disk Archive
— We consider the problem of processing exact results for sliding window joins over data streams with limited memory. Existing approaches deal with memory limitations by shedding...
Abhirup Chakraborty, Ajit Singh