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SIGMOD
2010
ACM
186views Database» more  SIGMOD 2010»
15 years 9 months ago
Fast approximate correlation for massive time-series data
We consider the problem of computing all-pair correlations in a warehouse containing a large number (e.g., tens of thousands) of time-series (or, signals). The problem arises in a...
Abdullah Mueen, Suman Nath, Jie Liu
SDM
2012
SIAM
285views Data Mining» more  SDM 2012»
13 years 6 months ago
A Novel Approximation to Dynamic Time Warping allows Anytime Clustering of Massive Time Series Datasets
Given the ubiquity of time series data, the data mining community has spent significant time investigating the best time series similarity measure to use for various tasks and dom...
Qiang Zhu 0002, Gustavo E. A. P. A. Batista, Thana...
CP
2005
Springer
15 years 9 months ago
Approximations in Distributed Optimization
Abstract. We present a parameterized approximation scheme for distributed combinatorial optimization problems based on dynamic programming. The algorithm is a utility propagation m...
Adrian Petcu, Boi Faltings
COLOGNETWENTE
2008
15 years 5 months ago
A Simple 3-Approximation of Minimum Manhattan Networks
Given a set P of n points in the plane, a Manhattan network of P is a network that contains a rectilinear shortest path between every pair of points of P. A minimum Manhattan netw...
Bernhard Fuchs, Anna Schulze
SIAMCOMP
2010
125views more  SIAMCOMP 2010»
14 years 10 months ago
Approximating Steiner Networks with Node-Weights
The (undirected) Steiner Network problem is: given a graph = ( , ) with edge/node-weights and edge-connectivity requirements { ( , ) : , }, find a minimumweight subgraph of conta...
Zeev Nutov