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ICALP
2009
Springer
15 years 9 months ago
Annotations in Data Streams
The central goal of data stream algorithms is to process massive streams of data using sublinear storage space. Motivated by work in the database community on outsourcing database...
Amit Chakrabarti, Graham Cormode, Andrew McGregor
ICDE
2012
IEEE
228views Database» more  ICDE 2012»
12 years 12 months ago
A General Method for Estimating Correlated Aggregates over a Data Stream
—On a stream of two dimensional data items (x, y) where x is an item identifier, and y is a numerical attribute, a correlated aggregate query requires us to first apply a selec...
Srikanta Tirthapura, David P. Woodruff
SIGMOD
2003
ACM
158views Database» more  SIGMOD 2003»
15 years 9 months ago
Processing Set Expressions over Continuous Update Streams
There is growing interest in algorithms for processing and querying continuous data streams (i.e., data that is seen only once in a fixed order) with limited memory resources. In ...
Sumit Ganguly, Minos N. Garofalakis, Rajeev Rastog...
TSP
2008
119views more  TSP 2008»
14 years 9 months ago
MIMO Relaying With Linear Processing for Multiuser Transmission in Fixed Relay Networks
In this paper, a novel relaying strategy that uses multiple input multiple output (MIMO) fixed relays with linear processing to support multiuser transmission in cellular networks...
Chan-Byoung Chae, Taiwen Tang, Robert W. Heath Jr....
ICDM
2008
IEEE
137views Data Mining» more  ICDM 2008»
15 years 3 months ago
Stream Sequential Pattern Mining with Precise Error Bounds
Sequential pattern mining is an interesting data mining problem with many real-world applications. This problem has been studied extensively in static databases. However, in recen...
Luiz F. Mendes, Bolin Ding, Jiawei Han