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KDD
2008
ACM
246views Data Mining» more  KDD 2008»
14 years 9 months ago
Direct mining of discriminative and essential frequent patterns via model-based search tree
Frequent patterns provide solutions to datasets that do not have well-structured feature vectors. However, frequent pattern mining is non-trivial since the number of unique patter...
Wei Fan, Kun Zhang, Hong Cheng, Jing Gao, Xifeng Y...
KDD
2003
ACM
175views Data Mining» more  KDD 2003»
14 years 9 months ago
Time and sample efficient discovery of Markov blankets and direct causal relations
Data Mining with Bayesian Network learning has two important characteristics: under broad conditions learned edges between variables correspond to causal influences, and second, f...
Ioannis Tsamardinos, Constantin F. Aliferis, Alexa...
APPROX
2010
Springer
193views Algorithms» more  APPROX 2010»
13 years 11 months ago
Approximation Algorithms for the Directed k-Tour and k-Stroll Problems
We consider two natural generalizations of the Asymmetric Traveling Salesman problem: the k-Stroll and the k-Tour problems. The input to the k-Stroll problem is a directed n-verte...
MohammadHossein Bateni, Julia Chuzhoy
BMCBI
2007
160views more  BMCBI 2007»
13 years 9 months ago
Identifying protein complexes directly from high-throughput TAP data with Markov random fields
Background: Predicting protein complexes from experimental data remains a challenge due to limited resolution and stochastic errors of high-throughput methods. Current algorithms ...
Wasinee Rungsarityotin, Roland Krause, Arno Sch&ou...
ER
2005
Springer
200views Database» more  ER 2005»
14 years 2 months ago
How to Tame a Very Large ER Diagram (Using Link Analysis and Force-Directed Drawing Algorithms)
Abstract. Understanding a large schema without the assistance of persons already familiar with it (and its associated applications), is a hard and very time consuming task that occ...
Yannis Tzitzikas, Jean-Luc Hainaut