Christopher N. Eichelberger

According to our database1, Christopher N. Eichelberger authored at least 10 papers between 2006 and 2016.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2016
A survey of techniques and open-source tools for processing streams of spatio-temporal events.
Proceedings of the 7th ACM SIGSPATIAL International Workshop on GeoStreaming, 2016

An experimental study of big spatial data systems.
Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016

2013
Towards a Characterization and Systematic Evaluation Framework for Theories and Models of Human, Social, Behavioral, and Cultural Processes within Agent-Based Models.
Proceedings of the Managing Complexity: Practical Considerations in the Development and Application of ABMs to Contemporary Policy Challenges, 2013

Spatio-temporal indexing in non-relational distributed databases.
Proceedings of the 2013 IEEE International Conference on Big Data (IEEE BigData 2013), 2013

2011
Automatic Verification and Validation of a CAS Simulation of an Intensive Care Unit.
Proceedings of the Complex Adaptive Systems: Energy, 2011

2010
Breaking the Box: Simulated Protein Computing.
Proceedings of the Bio-Inspired Models of Network, Information, and Computing Systems, 2010

2008
A Computer Simulation Laboratory for Social Theories.
Proceedings of the 2008 IEEE/WIC/ACM International Conference on Intelligent Agent Technology, 2008

2006
Complex Adaptive Systems: Using a Free-Market Simulation to Estimate Attribute Relevance.
Proceedings of the Foundations of Intelligent Systems, 16th International Symposium, 2006

Investigating Agent Strategies within a Complex Adaptive System of Purchasing Agents for Estimating Attribute Relevance.
Proceedings of the 2006 IEEE/WIC/ACM International Conference on Intelligent Agent Technology, 2006

Simulating protein computing: character recognition via probabilistic transition trees.
Proceedings of the 2006 IEEE International Conference on Granular Computing, 2006


  Loading...