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» Graph Distances in the Data-Stream Model
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EDBT
2009
ACM
173views Database» more  EDBT 2009»
13 years 10 months ago
PROUD: a probabilistic approach to processing similarity queries over uncertain data streams
We present PROUD - A PRObabilistic approach to processing similarity queries over Uncertain Data streams, where the data streams here are mainly time series streams. In contrast t...
Mi-Yen Yeh, Kun-Lung Wu, Philip S. Yu, Ming-Syan C...
ICALP
2009
Springer
14 years 5 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
CORR
2010
Springer
117views Education» more  CORR 2010»
13 years 2 months ago
An Optimal Lower Bound on the Communication Complexity of Gap-Hamming-Distance
We prove an optimal (n) lower bound on the randomized communication complexity of the much-studied GAP-HAMMING-DISTANCE problem. As a consequence, we obtain essentially optimal mu...
Amit Chakrabarti, Oded Regev
DIALM
2008
ACM
179views Algorithms» more  DIALM 2008»
13 years 7 months ago
Distance graphs: from random geometric graphs to Bernoulli graphs and between
A random geometric graph G(n, r) is a graph resulting from placing n points uniformly at random on the unit area disk, and connecting two points iff their Euclidean distance is at ...
Chen Avin
WG
2001
Springer
13 years 10 months ago
(k, +)-Distance-Hereditary Graphs
In this work we introduce, characterize, and provide algorithmic results for (k, +)–distance-hereditary graphs, k ≥ 0. These graphs can be used to model interconnection networ...
Serafino Cicerone, Gianluca D'Ermiliis, Gabriele D...