About This Blog
This blog serves as a venue for my notes on personal software projects and other thoughts on software topics. You can contact me here: jeffrey.a.coble@gmail.com
About Me
My name is Jeff Coble, and I work in the software industry where I currently apply service oriented architecture concepts to build scalable enterprise software systems. I hold BS, MS and PhD degrees in Computer Science, and I have a variety of interests, but most recently I’ve been thinking a lot about the convergence of social networking technologies, software as a service, cloud computing and graph-based data mining (my dissertation topic). My resume is available here.
Publications
J. Coble, D. Cook, and L. Holder. Structure discovery in sequentially-connected data streams. International Journal on Artificial Intelligence Tools, 2006.
L. Holder, D. Cook, J. Coble and M. Mukherjee. Graph-based relational learning with application to security. Fundamenta Informaticae Special Issue on Mining Graphs, Trees and Sequences, 66(1-2):83-101, 2005.
J. Coble, D. Cook, R. Rathi, and L. Holder. Iterative structure discovery in graph-based data. International Journal of Artificial Intelligence Techniques. 14(1-2), 2005.
J. Coble and D. Cook. Structure discovery in sequentially connected data. Proceedings of the Florida Artificial Intelligence Research Symposium, 2005. Recipient of the best paper award.
N. Ketkar, L. Holder, D. Cook, R. Shah and J. Coble, Subdue: Compression-based frequent pattern discovery in graph data. Proceedings of the ACM KDD Workshop on Open-Source Data Mining. August 2005.
J. Potts, L. Holder, D. Cook, and J. Coble. Learning concepts from intelligence data embedded in a supervised graph. Proceedings of the International Conference on Intelligence Analysis, 2005.
D. Cook, L. Holder, J. Coble and J. Potts, Graph-based mining of complex data. S. Bandyopadhyay, U. Maulik, L. Holder and D. Cook (eds.), Advanced Methods for Knowledge Discovery from Complex Data, Springer, 2005.
J. Coble, D. Cook, L. Holder, and R. Rathi. Structure discovery from sequential data. Proceedings of the Florida Artificial Intelligence Research Symposium, 2004. Extended paper in International Journal of Artificial Intelligence Techniques, 14(1-2), 2005.
J. Coble and D. Cook. Real-time learning when concepts shift. Proceedings of the Florida AI Research Symposium, pages 192-196, 2000.
J. Coble and D. Cook. Virtual environments: An agent-based approach. Proceedings of the AAAI Spring Symposium on Agents with Adjustable Autonomy, 1999.
J. Coble and D. Cook. Virtual environments: An agent-based approach. Proceedings of the AAAI Spring Symposium on Intelligent Agents in Cyberspace, 1999.
J. Coble and D. Cook. Fault tolerant coordination of robot teams. Proceedings of the AAAI Fall Symposium on Cognitive Robotics, 1998.
J. Coble and K. Harbison. MAVE: A Multi-agent Architecture for Virtual Environments. Proceedings of 11 th International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems, 1998.
