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KDD
2002
ACM
155views Data Mining» more  KDD 2002»
16 years 5 days ago
SyMP: an efficient clustering approach to identify clusters of arbitrary shapes in large data sets
We propose a new clustering algorithm, called SyMP, which is based on synchronization of pulse-coupled oscillators. SyMP represents each data point by an Integrate-and-Fire oscill...
Hichem Frigui
SASO
2008
IEEE
15 years 6 months ago
An Emergent System for Self-Aligning and Self-Organizing Shape Primitives
Motivated by the natural phenomenon of living cells selforganizing into specific shapes and structures, we present an emergent system that utilizes evolutionary computing methods...
Linge Bai, Manolya Eyiyurekli, David E. Breen
KAIS
2010
139views more  KAIS 2010»
14 years 10 months ago
Periodic subgraph mining in dynamic networks
In systems of interacting entities such as social networks, interactions that occur regularly typically correspond to significant, yet often infrequent and hard to detect, interact...
Mayank Lahiri, Tanya Y. Berger-Wolf
KDD
2009
ACM
152views Data Mining» more  KDD 2009»
16 years 9 days ago
A multi-relational approach to spatial classification
Spatial classification is the task of learning models to predict class labels based on the features of entities as well as the spatial relationships to other entities and their fe...
Richard Frank, Martin Ester, Arno Knobbe
AAAI
2007
15 years 2 months ago
Anytime Coordination Using Separable Bilinear Programs
Developing scalable coordination algorithms for multi-agent systems is a hard computational challenge. One useful approach, demonstrated by the Coverage Set Algorithm (CSA), explo...
Marek Petrik, Shlomo Zilberstein