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ICDM
2010
IEEE
147views Data Mining» more  ICDM 2010»
13 years 7 months ago
Subgroup Discovery Meets Bayesian Networks -- An Exceptional Model Mining Approach
Whenever a dataset has multiple discrete target variables, we want our algorithms to consider not only the variables themselves, but also the interdependencies between them. We pro...
Wouter Duivesteijn, Arno J. Knobbe, Ad Feelders, M...
SIGECOM
2008
ACM
126views ECommerce» more  SIGECOM 2008»
13 years 9 months ago
Behavioral experiments in networked trade
We report on an extensive series of highly controlled human subject experiments in networked trade. Our point of departure is a simple and well-studied bipartite network exchange ...
J. Stephen Judd, Michael Kearns
ASUNAM
2009
IEEE
14 years 3 months ago
Networks Evolving Step by Step: Statistical Analysis of Dyadic Event Data
With few exceptions, statistical analysis of social networks is currently focused on cross-sectional or panel data. On the other hand, automated collection of network-data often p...
Ulrik Brandes, Jürgen Lerner, Tom A. B. Snijd...
APIN
2000
116views more  APIN 2000»
13 years 8 months ago
Application of Cascade Correlation Networks for Structures to Chemistry
Abstract. We present the application of Cascade Correlation for structures to QSPR (quantitative structureproperty relationships) and QSAR (quantitative structure-activity relation...
Anna Maria Bianucci, Alessio Micheli, Alessandro S...
CIDM
2007
IEEE
14 years 3 months ago
Structure Prediction in Temporal Networks using Frequent Subgraphs
— There are several types of processes which can be modeled explicitly by recording the interactions between a set of actors over time. In such applications, a common objective i...
Mayank Lahiri, Tanya Y. Berger-Wolf