Abstract
We propose an event-based service framework for Multivariate Time Series Analytics (MTSA) that supports model definition, querying, parameter learning, model evaluation, monitoring, and decision recommendation on events. Our approach combines the strengths of both domain-knowledge-based and formal-learning-based approaches for maximizing utility on events over multivariate time series. More specifically, we identify multivariate time series parametric estimation problems, in which the objective function is dependent on the time points from which the parameters are learned. We propose an algorithm that guarantees to find the optimal time point(s), and we show that our approach produces results that are superior to those of the domain-knowledge-based approach and the logit regression model. We also develop MTSA data model and query language for the services of parameter learning, querying, and monitoring.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Stack, J.B.: Technical and Monetary Investment Analysis. InvesTech Research 9(3 & 5) (2009)
Dougherty, C.: Introduction to Econometrics, 3rd edn. Oxford University Press (2007)
Hansen, B.E.: Econometrics. University of Wisconsin (2010), http://www.ssc.wisc.edu/~bhansen/econometrics/Econometrics.pdf
Heij, D., De Boer, P., Franses, P.H., Kloek, T., Van Dijk, H.K.: Econometric Methods with Applications in Business and Economics. Oxford University Press (2004)
Bentley, J.L.: Multidimensional Binary Search Trees Used for Associative Searching. Communications of the ACM 18(09), 509–517 (1975)
Bentley, J.L.: Multidimensional Binary Search Trees in Database Applications. IEEE Transactions on Software Engineering 5(04), 333–340 (1979)
Samet, H.: Foundations of Multidimensional and Metric Data Structures. Morgan Kaufmann (2006)
Bellman, R.: Adaptive Control Processes: A Guided Tour. University Press, Princeton (1961)
Brodsky, A., Bhot, M.M., Chandrashekar, M., Egge, N.E., Wang, X.S.: A Decisions Query Language (DQL): High-Level Abstraction for Mathematical Programming over Databases. In: Proceedings of the 35th SIGMOD International Conference on Management of Data (2009)
Brodsky, A., Henshaw, S.M., Whittle, J.: CARD: A Decision-Guidance Framework and Application for Recommending Composite Alternatives. In: 2nd ACM International Conference on Recommender Systems (2008)
Brodsky, A., Wang, X.S.: Decision-Guidance Management Systems (DGMS): Seamless Integration of Data Acquisition, Learning, Prediction, and Optimization. In: Proceedings of the 41st Hawaii International Conference on System Sciences (2008)
Dumas, M., O’Sullivan, J., Heravizadeh, M., Edmond, D., Hofstede, A.: Towards a Semantic Framework for Service Description. In: Proceedings of the IFIP TC2/WG2.6 Ninth Working Conference on Database Semantics: Semantic Issues in E-Commerce Systems (2001)
Erl, T.: Service-Oriented Architecture (SOA): Concepts, Technology, and Design. Prentice Hall (2005)
Erradi, A., Anand, S., Kulkarni, N.: SOAF: An Architectural Framework for Service Definition and Realization. In: IEEE International Conference on Services Computing, SCC 2006 (2006)
Harrington, J.: Relational Database Design and Implementation, 3rd edn. Morgan Kaufmann (2009)
Holyfield, S.: Non-technical Guide to Technical Frameworks. JISC CETIS (2005), http://www.elearning.ac.uk/features/nontechguide1
Josuttis, N.: SOA in Practice: The Art of Distributed System Design. O’Reilly Media (2007)
Ngan, C.K., Brodsky, A., Lin, J.: Decisions on Multivariate Time Series: Combining Domain Knowledge with Utility Maximization. In: The 15th IFIP WG8.3 International Conference on Decision Support Systems (2010)
Nicholls, P.: Enterprise Architectures and the International e-Framework. e-framework Organization (2009), http://www.e-framework.org/Portals/9/docs/EAPaper_2009-07.pdf
Olivier, B., Roberts, T., Blinco, K.: The e-Framework for Education and Research: An Overview. e-framework Organization (2005), http://www.e-framework.org/Portals/9/Resources/eframeworkrV1.pdf
Ort, E.: Service-Oriented Architecture and Web Services: Concepts, Technologies, and Tools. Sun Developer Network Technical Articles and Tips, http://java.sun.com/developer/technicalArticles/WebServices/soa2/
Papazoglou, M., Heuvel, W.: Service Oriented Architectures: Approaches, Technologies, and Research Issues. The VLDB Journal (June 2005)
Quartel, D., Steen, M., Pokraev, S., Sinderen, M.: COSMO: A Conceptual Framework for Service Modelling and Refinement. Journal of Information Systems Frontiers 9(2-3), 225–244 (2007)
Sprague Jr., R.H.: A Framework for the Development of Decision Support Systems. MIS Quarterly 4(4), 1–26 (1980)
Stephen, B., et al.: Database Design: Know It All. Morgan Kaufmann (2008)
Wilson, S., Blinco, K., Rehak, D.: Service-Oriented Frameworks: Modelling the Infrastructure for the Next Generation of e-Learning Systems. JISC CETIS (2004), http://www.jisc.ac.uk/uploaded_documents/AltilabServiceOrientedFrameworks.pdf
Zhang, T., Ying, S., Cao, S., Jia, S.: A Modeling Framework for Service-Oriented Architecture. In: Proceedings of the Sixth International Conference on Quality Software, QSIC 2006 (2006)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2012 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Ngan, CK., Brodsky, A., Lin, J. (2012). An Event-Based Service Framework for Learning, Querying and Monitoring Multivariate Time Series. In: Zhang, R., Zhang, J., Zhang, Z., Filipe, J., Cordeiro, J. (eds) Enterprise Information Systems. ICEIS 2011. Lecture Notes in Business Information Processing, vol 102. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-29958-2_14
Download citation
DOI: https://doi.org/10.1007/978-3-642-29958-2_14
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-29957-5
Online ISBN: 978-3-642-29958-2
eBook Packages: Computer ScienceComputer Science (R0)