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PODS
2009
ACM
119views Database» more  PODS 2009»
15 years 29 days ago
Exceeding expectations and clustering uncertain data
Database technology is playing an increasingly important role in understanding and solving large-scale and complex scientific and societal problems and phenomena, for instance, un...
Sudipto Guha, Kamesh Munagala
STOC
2009
ACM
182views Algorithms» more  STOC 2009»
15 years 1 months ago
Approximating edit distance in near-linear time
We show how to compute the edit distance between two strings of length n up to a factor of 2 ~O( log n) in n1+o(1) time. This is the first sub-polynomial approximation algorithm f...
Alexandr Andoni, Krzysztof Onak
STOC
2009
ACM
139views Algorithms» more  STOC 2009»
15 years 1 months ago
Online and stochastic survivable network design
Consider the edge-connectivity survivable network design problem: given a graph G = (V, E) with edge-costs, and edgeconnectivity requirements rij Z0 for every pair of vertices i,...
Anupam Gupta, Ravishankar Krishnaswamy, R. Ravi
WWW
2008
ACM
15 years 1 months ago
Externalities in online advertising
Most models for online advertising assume that an advertiser's value from winning an ad auction, which depends on the clickthrough rate or conversion rate of the advertisemen...
Arpita Ghosh, Mohammad Mahdian
GIS
2006
ACM
15 years 1 months ago
Computing longest duration flocks in trajectory data
Moving point object data can be analyzed through the discovery of patterns. We consider the computational efficiency of computing two of the most basic spatio-temporal patterns in...
Joachim Gudmundsson, Marc J. van Kreveld
GIS
2004
ACM
15 years 1 months ago
Efficient detection of motion patterns in spatio-temporal data sets
Moving point object data can be analyzed through the discovery of patterns. We consider the computational efficiency of detecting four such spatio-temporal patterns, namely flock,...
Joachim Gudmundsson, Marc J. van Kreveld, Bettina ...
ICDE
2008
IEEE
110views Database» more  ICDE 2008»
15 years 1 months ago
Standing Out in a Crowd: Selecting Attributes for Maximum Visibility
In recent years, there has been significant interest in development of ranking functions and efficient top-k retrieval algorithms to help users in ad-hoc search and retrieval in da...
Muhammed Miah, Gautam Das, Vagelis Hristidis, Heik...