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IFIP12
2007
13 years 9 months ago
Clustering Improves the Exploration of Graph Mining Results
Mining frequent subgraphs is an area of research where we have a given set of graphs, and where we search for (connected) subgraphs contained in many of these graphs. Each graph ca...
Edgar H. de Graaf, Joost N. Kok, Walter A. Kosters
JTAER
2008
200views more  JTAER 2008»
13 years 8 months ago
Exploring Relationships between Products Characteristics and B2C Interaction in Electronic Commerce
The main purpose of the paper is to explore and discuss the influence of product type on customer interaction in electronic commerce. We have conducted two qualitative case studie...
Karin Axelsson
SP
2008
IEEE
140views Security Privacy» more  SP 2008»
13 years 7 months ago
Knowledge support and automation for performance analysis with PerfExplorer 2.0
The integration of scalable performance analysis in parallel development tools is difficult. The potential size of data sets and the need to compare results from multiple experime...
Kevin A. Huck, Allen D. Malony, Sameer Shende, Ala...
AROBOTS
2000
104views more  AROBOTS 2000»
13 years 7 months ago
Heterogeneous Teams of Modular Robots for Mapping and Exploration
In this article, we present the design of a team of heterogeneous, centimeter-scale robots that collaborate to map and explore unknown environments. The robots, called Millibots, a...
Robert Grabowski, Luis E. Navarro-Serment, Christi...
PKDD
2010
Springer
179views Data Mining» more  PKDD 2010»
13 years 5 months ago
Gaussian Processes for Sample Efficient Reinforcement Learning with RMAX-Like Exploration
Abstract. We present an implementation of model-based online reinforcement learning (RL) for continuous domains with deterministic transitions that is specifically designed to achi...
Tobias Jung, Peter Stone