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202
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CINQ
2004
Springer
163views Database» more  CINQ 2004»
16 years 20 days ago
Frequent Itemset Discovery with SQL Using Universal Quantification
Algorithms for finding frequent itemsets fall into two broad classes: (1) algorithms that are based on non-trivial SQL statements to query and update a database, and (2) algorithms...
Ralf Rantzau
VLDB
2004
ACM
98views Database» more  VLDB 2004»
16 years 19 days ago
Top-k Query Evaluation with Probabilistic Guarantees
Top-k queries based on ranking elements of multidimensional datasets are a fundamental building block for many kinds of information discovery. The best known general-purpose algor...
Martin Theobald, Gerhard Weikum, Ralf Schenkel
202
Voted
IPPS
2006
IEEE
16 years 1 months ago
Effecting parallel graph eigensolvers through library composition
— Many interesting problems in graph theory can be reduced to solving an eigenproblem of the adjacency matrix or Laplacian of a graph. Given the availability of high-quality line...
A. Breuer, Peter Gottschling, Douglas Gregor, Andr...
ESA
2010
Springer
161views Algorithms» more  ESA 2010»
15 years 8 months ago
Top-k Ranked Document Search in General Text Databases
Text search engines return a set of k documents ranked by similarity to a query. Typically, documents and queries are drawn from natural language text, which can readily be partiti...
J. Shane Culpepper, Gonzalo Navarro, Simon J. Pugl...
KDD
2007
ACM
244views Data Mining» more  KDD 2007»
16 years 7 months ago
A Recommender System Based on Local Random Walks and Spectral Methods
In this paper, we design recommender systems for weblogs based on the link structure among them. We propose algorithms based on refined random walks and spectral methods. First, w...
Zeinab Abbassi, Vahab S. Mirrokni