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» On antimagic directed graphs
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KDD
2003
ACM
175views Data Mining» more  KDD 2003»
16 years 6 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»
15 years 11 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
184
Voted
ICDM
2009
IEEE
139views Data Mining» more  ICDM 2009»
15 years 3 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
16 years 9 days 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
15 years 11 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