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» On antimagic directed graphs
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KDD
2003
ACM
175views Data Mining» more  KDD 2003»
14 years 8 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...
ER
2005
Springer
200views Database» more  ER 2005»
14 years 1 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
ICDM
2009
IEEE
139views Data Mining» more  ICDM 2009»
13 years 5 months ago
Frequent Pattern Discovery from a Single Graph with Quantitative Itemsets
In this paper, we focus on a single graph whose vertices contain a set of quantitative attributes. Several networks can be naturally represented in this complex graph. An example i...
Yuuki Miyoshi, Tomonobu Ozaki, Takenao Ohkawa
ADHOCNOW
2008
Springer
14 years 2 months ago
Localized Spanner Construction for Ad Hoc Networks with Variable Transmission Range
Abstract. This paper presents an algorithm for constructing a spanner for ad hoc networks whose nodes have variable transmission range. Almost all previous spanner constructions fo...
David Peleg, Liam Roditty
GD
2004
Springer
14 years 1 months ago
QUOGGLES: Query On Graphs - A Graphical Largely Extensible System
We describe the query and data processing language QUOGGLES which is particularly designed for the application on graphs. It uses a pipeline-like technique known from command line ...
Paul Holleis, Franz-Josef Brandenburg