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» A randomized embedding algorithm for trees
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STOC
2005
ACM
115views Algorithms» more  STOC 2005»
16 years 1 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»
15 years 7 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»
15 years 3 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»
16 years 1 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»
16 years 1 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