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» A randomized embedding algorithm for trees
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STOC
2005
ACM
115views Algorithms» more  STOC 2005»
14 years 9 months ago
Lower-stretch spanning trees
We show that every weighted connected graph G contains as a subgraph a spanning tree into which the edges of G can be embedded with average stretch O log2 n log log n . Moreover, w...
Michael Elkin, Yuval Emek, Daniel A. Spielman, Sha...
ICDM
2006
IEEE
176views Data Mining» more  ICDM 2006»
14 years 3 months ago
Razor: mining distance-constrained embedded subtrees
Due to their capability for expressing semantics and relationships among data objects, semi-structured documents have become a common way of representing domain knowledge. Compari...
Henry Tan, Tharam S. Dillon, Fedja Hadzic, Elizabe...
ESA
2008
Springer
115views Algorithms» more  ESA 2008»
13 years 10 months ago
Deterministic Sampling Algorithms for Network Design
For several NP-hard network design problems, the best known approximation algorithms are remarkably simple randomized algorithms called Sample-Augment algorithms in [11]. The algor...
Anke van Zuylen
KDD
2002
ACM
144views Data Mining» more  KDD 2002»
14 years 9 months ago
Efficiently mining frequent trees in a forest
Mining frequent trees is very useful in domains like bioinformatics, web mining, mining semi-structured data, and so on. We formulate the problem of mining (embedded) subtrees in ...
Mohammed Javeed Zaki
STOC
2006
ACM
244views Algorithms» more  STOC 2006»
14 years 9 months ago
Approximate nearest neighbors and the fast Johnson-Lindenstrauss transform
We introduce a new low-distortion embedding of d 2 into O(log n) p (p = 1, 2), called the Fast-Johnson-LindenstraussTransform. The FJLT is faster than standard random projections ...
Nir Ailon, Bernard Chazelle