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» Evaluating window joins over punctuated streams
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KDD
2009
ACM
224views Data Mining» more  KDD 2009»
15 years 1 months ago
Issues in evaluation of stream learning algorithms
Learning from data streams is a research area of increasing importance. Nowadays, several stream learning algorithms have been developed. Most of them learn decision models that c...
João Gama, Raquel Sebastião, Pedro P...
SIGMOD
2004
ACM
157views Database» more  SIGMOD 2004»
15 years 9 months ago
Adaptive Ordering of Pipelined Stream Filters
We consider the problem of pipelined filters, where a continuous stream of tuples is processed by a set of commutative filters. Pipelined filters are common in stream applications...
Shivnath Babu, Rajeev Motwani, Kamesh Munagala, It...
SIGMOD
2006
ACM
232views Database» more  SIGMOD 2006»
15 years 9 months ago
High-performance complex event processing over streams
In this paper, we present the design, implementation, and evaluation of a system that executes complex event queries over real-time streams of RFID readings encoded as events. The...
Eugene Wu 0002, Yanlei Diao, Shariq Rizvi
ICDE
2006
IEEE
178views Database» more  ICDE 2006»
15 years 10 months ago
Characterizing and Exploiting Reference Locality in Data Stream Applications
In this paper, we investigate a new approach to process queries in data stream applications. We show that reference locality characteristics of data streams could be exploited in ...
Feifei Li, Ching Chang, George Kollios, Azer Besta...
DASFAA
2010
IEEE
193views Database» more  DASFAA 2010»
14 years 7 months ago
A Simple, Yet Effective and Efficient, Sliding Window Sampling Algorithm
Sampling streams of continuous data with limited memory, or reservoir sampling, is a utility algorithm. Standard reservoir sampling maintains a random sample of the entire stream a...
Xuesong Lu, Wee Hyong Tok, Chedy Raïssi, St&e...