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nullM. Diván, L. Olsina and S. Gordillo, "Strategy for Data Stream Processing Based on Measurement Metadata: An Outpatient Monitoring Scenario," Journal of Software Engineering and Applications
, Vol. 4 No. 12, 2011, pp. 653-665. doi: 10.4236/jsea.2011.412077
 J. Namit, J. Gehrke and H. Balakrishan, “Towards a Streaming SQL Standard,” Proceedings of the VLDB Endowment, Vol. 1, No. 2, 2008, pp. 1379-1390.
 H. Molina and L. Olsina, “Towards the Support of Contextual Information to a Measurement and Evaluation Framework,” International Conference on Quality of Information and Communications Technology, Lisbon, 12-14 September 2007, pp. 154-166.
 L. Olsina, F. Papa and H. Molina, “How to Measure and Evaluate Web Applications in a Consistent Way,” In: G. Rossi, O. Pastor, D. Schwabe and L. Olsina, Eds., Web Engineering: Modelling and Implementing Web Applications, Springer Book, London, 2008, pp. 385-420.
 M. Diván and L. Olsina, “Integrated Strategy for the Data Stream Processing: A Scenario of Use,” Proceeding of Iberoamerican Conference in “Software Engineering”, Medellín, 2009, pp. 374-387.
 M. Diván, L. Olsina and S. Gordillo, “Data Stream Processing Enriched with Measurement Metadata: A Statistical Analysis,” Proceeding of Iberoamerican Conference in “Software Engineering” (CIbSE), Rio de Janeiro, 2011, p. 29.
 M. Wei, W. Rundensteiner and M. Mani, “Utility-Driven Load Shedding for XML Stream Processing,” International Conference on World Wide Web, Beijing, 21-25 April 2008, pp. 855-864.
 C. Marrocco, R. Duin and F. Tortorella, “Maximizing the Area under the ROC Curve by Pairwise Feature Combination,” ACM Pattern Recognition, Vol. 41, No. 6, 2008, pp. 1961-1974. doi:10.1016/j.patcog.2007.11.017
 R. Software Foundation, “The R Foundation for Statistical Computing,” 2010.
 S. Babu and J. Widom, “Continuous Queries over Data Streams,” ACM SIGMOD Record, Vol. 30, No. 3, 2001, pp. 109-120. doi:10.1145/603867.603884
 D. Abadi, Y. Ahmad, M. Balazinska, U. Cetintemel, M. Cherniack, J. Hwang, W. Lindner, A. Maskey, A. Rasin, E. Ryvkina, N. Tatbul, Y. Xing and S. Zdonik, “The Design of the Borealis Stream Processing Engine,” Conference on Innovative Data Systems Research (CIDR), Asilomar, 2005, pp. 277-289.
 The Stream Group, “STREAM: The Stanford Stream Data Manager,” Stanford, 2003.
 S. Krishnamurthy, S. Chandrasekaran, O. Cooper, A. Deshpande, M. Franklin, J. Hellerstein, W. Hong, S. Madden, F. Reiss and M. Shah, “Telegraph CQ: An Architectural Status Report,” IEEE Data Engineering Bulletin, Vol. 26, No. 2, 2003, pp. 11-18.
 S. Chakravarthy and Q. Jiang, “Stream Data Processing: A Quality of Service Perspective,” Springer Book, New York, 2009.
 M. Ali, W. Aref, R. Bose, A. Elmagarmid, A. Helal, I. Kamel and M. Mokbel, “NILE-PDT: A Phenomenon Detection and Tracking Framework for Data Stream Management Systems,” Very Large Database, Trondheim, 2005, pp. 1295-1298.
 S. Singh, P. Vajirkar and Y. Lee, “Context-Aware Data Mining Framework for Wireless Medical Application,” LNCS of Springer, Vol. 2736, 2003, pp. 381-391.
 S. Singh, P. Vajirkar and Y. Lee, “Context-Based Data Mining Using Ontologies,” LNCS of Springer, Vol. 2813. 2003, pp. 405-418.
 Y. Huang, H. Zheng, C. Nugent, P. McCullagh, N. Black, K. Vowles and L. McCracken, “Feature Selection and Classification in Supporting Report Based Self Management for People with Chronic Pain,” IEEE Transactions on Information Technology in Biomedicine, Vol. 15, No. 1, 2011, pp. 54-61.