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» Modeling skew in data streams
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WINET
2010
121views more  WINET 2010»
13 years 8 months ago
Transmission algorithm for video streaming over cellular networks
2.5G and 3G cellular networks are becoming more and more widespread. Therefore, the need for value added services is increasing rapidly. One of the key services that operators see...
Y. Falik, A. Averbuch, U. Yechiali
ESCAPE
2007
Springer
212views Algorithms» more  ESCAPE 2007»
14 years 4 months ago
Streaming Algorithms for Data in Motion
We propose two new data stream models: the reset model and the delta model, motivated by applications to databases, and to tracking the location of spatial points. We present algor...
Michael Hoffmann 0002, S. Muthukrishnan, Rajeev Ra...
SDM
2011
SIAM
256views Data Mining» more  SDM 2011»
13 years 19 days ago
Temporal Structure Learning for Clustering Massive Data Streams in Real-Time
This paper describes one of the first attempts to model the temporal structure of massive data streams in real-time using data stream clustering. Recently, many data stream clust...
Michael Hahsler, Margaret H. Dunham
ICALP
2009
Springer
14 years 10 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
COCOON
2005
Springer
14 years 3 months ago
Finding Longest Increasing and Common Subsequences in Streaming Data
In this paper, we present algorithms and lower bounds for the Longest Increasing Subsequence (LIS) and Longest Common Subsequence (LCS) problems in the data streaming model. For t...
David Liben-Nowell, Erik Vee, An Zhu