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» Fast Approximate Graph Partitioning Algorithms
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EDBT
2011
ACM
281views Database» more  EDBT 2011»
12 years 11 months ago
Fast and accurate computation of equi-depth histograms over data streams
Equi-depth histograms represent a fundamental synopsis widely used in both database and data stream applications, as they provide the cornerstone of many techniques such as query ...
Hamid Mousavi, Carlo Zaniolo
AAIM
2007
Springer
116views Algorithms» more  AAIM 2007»
14 years 1 months ago
Solving Generalized Maximum Dispersion with Linear Programming
The Generalized Maximum Dispersion problem asks for a partition of a given graph into p vertex-disjoint sets, each of them having at most k vertices. The goal is to maximize the to...
Gerold Jäger, Anand Srivastav, Katja Wolf
SDM
2007
SIAM
137views Data Mining» more  SDM 2007»
13 years 9 months ago
Are approximation algorithms for consensus clustering worthwhile?
Consensus clustering has emerged as one of the principal clustering problems in the data mining community. In recent years the theoretical computer science community has generated...
Michael Bertolacci, Anthony Wirth
DEXA
2004
Springer
136views Database» more  DEXA 2004»
14 years 1 months ago
PC-Filter: A Robust Filtering Technique for Duplicate Record Detection in Large Databases
: In this paper, we will propose PC-Filter (PC stands for Partition Comparison), a robust data filter for approximately duplicate record detection in large databases. PC-Filter dis...
Ji Zhang, Tok Wang Ling, Robert M. Bruckner, Han L...
STOC
2003
ACM
133views Algorithms» more  STOC 2003»
14 years 8 months ago
A fast algorithm for computing steiner edge connectivity
Given an undirected graph or an Eulerian directed graph G and a subset S of its vertices, we show how to determine the edge connectivity C of the vertices in S in time O(C3 n log ...
Richard Cole, Ramesh Hariharan