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» A general algorithm for data dependence analysis
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153
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SDM
2003
SIAM
184views Data Mining» more  SDM 2003»
15 years 5 months ago
Finding Clusters of Different Sizes, Shapes, and Densities in Noisy, High Dimensional Data
The problem of finding clusters in data is challenging when clusters are of widely differing sizes, densities and shapes, and when the data contains large amounts of noise and out...
Levent Ertöz, Michael Steinbach, Vipin Kumar
STOC
2003
ACM
141views Algorithms» more  STOC 2003»
16 years 3 months ago
Better streaming algorithms for clustering problems
We study clustering problems in the streaming model, where the goal is to cluster a set of points by making one pass (or a few passes) over the data using a small amount of storag...
Moses Charikar, Liadan O'Callaghan, Rina Panigrahy
153
Voted
MHCI
2005
Springer
15 years 9 months ago
Three applications for mobile epidemic algorithms
This paper presents a framework for the pervasive sharing of data using wireless networks. ‘FarCry’ uses the mobility of users to carry files between separated networks. Throu...
Paul Tennent, Malcolm Hall, Barry Brown, Matthew C...
179
Voted
KDD
2003
ACM
205views Data Mining» more  KDD 2003»
16 years 4 months ago
The data mining approach to automated software testing
In today's industry, the design of software tests is mostly based on the testers' expertise, while test automation tools are limited to execution of pre-planned tests on...
Mark Last, Menahem Friedman, Abraham Kandel
CPM
2005
Springer
206views Combinatorics» more  CPM 2005»
15 years 9 months ago
A Fast Algorithm for Approximate String Matching on Gene Sequences
Abstract. Approximate string matching is a fundamental and challenging problem in computer science, for which a fast algorithm is highly demanded in many applications including tex...
Zheng Liu, Xin Chen, James Borneman, Tao Jiang