A blackboard-based approach towards predictive analytics

AAAI Spring Symposium - Technical Report

Volumn SS-09-09, Issue , 2009, Pages 154-161

  Yue, Jia ^a   Raja, Anita ^a   Liu, Dingxiang ^a   Wang, Xiaoyu ^a   Ribarsky, William ^a  

^a University of North Carolina at Charlotte   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

FUTURE TRENDS; INTERACTIVE VISUALIZATIONS; LARGE AMOUNTS OF DATA; MIXED-INITIATIVE; MULTIPLE HYPOTHESIS; PREDICTIVE ANALYTICS; REASONING PROCESS;

RESINS;

DATA VISUALIZATION;

EID: 70350539411     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (21)

1. Bertesekas, D., and Tsitsiklis, J. 2006. Neuro-Dynamic Programming. Athena scientific. Belmont, MA.
2. Brockwell, P., and Davis, R. 1991. Time series theory and methods, published by Springer.
3. Corkill, D. 1991. Blackboard Systems. AI Expert. 6(9):pp.40-47.
4. Corkill, D., Gallagher, K, and Murray, K. 1988. GBB: a generic blackboard development system. R. Englemore, T.Morgan (Eds.), Blackboard Systems. Addison Wesley .Reading, MA, pp. 503-518.
5. Decker, K. and Lesser, V. 1993. Quantitative modeling of complex environments. International Journal of Intelligent Systems in Accounting, Finance, and Management, December, 2(4): pp.215-234.
6. Frechtling, D. 2001. Forecasting Tourism demand methods and strategies. Butterworth-Heinemann.
7. Hannan, E.J. and Quinn, B.G. 1979. The determination of the order of an auto regression. Journal of the Royal Statistical Society, B41, pp. 190-195.
8. Hayes-Roth, B., and Hewitt, M. 1988. BB1: an implementation of blackboard control architecture. R. Englemore, T.Morgan (Eds.), Blackboard Systems, Addison Wesley .Reading, MA, pp. 297-313.
9. LaFree, G. and Dugan, L.2006. Global Terrorism Database, 1970 - 1997 [Computer file]. ICPSR04586-vl, College Park, MD: University of Maryland [producer]. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2007-04-04.
10. Lesser, V., Horling, B., Klassner, F., Raja, A., Wagner, T., and Zhang, S.1998. BIG: A resource-bounded information gathering agent. In Proceedings of the Fifteenth National Conference on Artificial Intelligence (AAAI-98), July.
11. See also UMass CS Technical Reports 98-03 and 97-34.
12. Liu, D., Raja, A., and Vaidyanath, J. 2007. TIBOR: A Resource-bounded Information Foraging Agent for Visual Analytics, Proceedings of 2007 IEEE/WIC/ACM International Conference on Intelligent Agent Technology (IAT 2007), Silicon Valley, CA, November, pp. 349-355.".
13. Liu, D., Yue, J., Wang, X., Raja, A., and Ribarsky, W.2008. The Role of Blackboard-based Reasoning and Visual Analytics in RESIN'S Predictive Analysis. Proceedings of 2008 IEEE/WIC/ACM International Conference on Intelligent Agent Technology (IAT 2008), Sydney, December, pp. 508-511.
14. Murua, F. 1994. The use of the Akaike Information Criterion in the identification of an optimum flood frequency model, Journal of Hydrological science, Vol.39, No.3, June.
15. Nelson, C.R. and Plosser C.I. 1982. Trends and random walks In Macroeconomic Time Series. Journal of Monterey Economics, 10, pp. 139-162.
16. Oppenheim, R. 1978. Forecasting via the Box-Jenkins Method. Journal of the Academy of Marketing Science, Vol.6, No.3, June, pp 206-221.
17. Pirolli, P. and Card, S. 2005. The Sensemaking Process and Leverage Points for Analyst Technology as Identified Through Cognitive Task Analysis. Proceedings of 2005 International Conference on Intelligence Analysis.
18. Quinlan, J. R. 1993, C4.5: Programs for Machine learning. Morgan Kaufman.
19. Vaidhyanathan, R., and Venkatasubramanian, V. 1996. Experience with an expert system for automated HAZOP analysis, European Symposium on Computer Aided Process Engineering, pp. 26-29, Rhodes, Greece.
20. Wang, X., Miller, E., Smarick, K., Ribarsky, W., and Chang, R. 2008. Investigative Visual Analysis of Global Terrorism. Journal of Computer Graphics Forum, Eurovis.
21. Zilberstein, S. 1996. Resource-Bounded Sensing and Planning in Autonomous Systems, Autonomous Robots, 3:31-48.