Skip to main content

Pattern Recognition

  • Reference work entry
  • First Online:
Book cover Encyclopedia of Big Data Technologies
  • 26 Accesses

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 849.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Hardcover Book
USD 999.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  • Ali MH, Gerea C, Raman BS, Sezgin B, Tarnavski T, Verona T, Wang P, Zabback P, Ananthanarayan A, Kirilov A, Lu M, Raizman A, Krishnan R, Schindlauer R, Grabs T, Bjeletich S, Chandramouli B, Goldstein J, Bhat S, Li Y, Di Nicola V, Wang X, Maier D, Grell S, Nano O, Santos I (2009) Microsoft CEP server and online behavioral targeting. VLDB 2(2):1558–1561. https://doi.org/10.14778/1687553.1687590

    Article  Google Scholar 

  • Alli G, Baresi L, Bianchessi A, Cugola G, Margara A, Morzenti A, Ongini C, Panigati E, Rossi M, Rotondi S, Savaresi S, Schreiber FA, Sivieri A, Tanca L, Vannutelli Depoli E (2012) Green move: towards next generation sustainable smartphone-based vehicle sharing. In: Proceedings of the conference on sustainable internet and ICT for sustainability (SustainIT’12). IEEE

    Google Scholar 

  • Anicic D, Fodor P, Rudolph S, Stühmer R, Stojanovic N, Studer R (2011) ETALIS: rule-based reasoning in event processing. Springer, Berlin/Heidelberg, pp 99–124. https://doi.org/10.1007/978-3-642-19724-6_5

    Chapter  Google Scholar 

  • Artikis A, Skarlatidis A, Portet F, Paliouras G (2012) Review: logic-based event recognition. Knowl Eng Rev 27(4):469–506. https://doi.org/10.1017/S0269888912000264

    Article  Google Scholar 

  • Artikis A, Sergot M, Paliouras G (2015) An event calculus for event recognition. Trans Knowl Data Eng 27(4):895–908

    Article  Google Scholar 

  • Artikis A, Margara A, Ugarte M, Vansummeren S, Weidlich M (2017) Complex event recognition languages: tutorial. In: Proceedings of the international conference on distributed and event-based systems (DEBS’17). ACM, pp 7–10. https://doi.org/10.1145/3093742.3095106

  • Balis B, Kowalewski B, Bubak M (2011) Real-time grid monitoring based on complex event processing. Futur Gener Comput Syst 27(8):1103–1112. https://doi.org/10.1016/j.future.2011.04.005

    Article  Google Scholar 

  • Brenna L, Demers A, Gehrke J, Hong M, Ossher J, Panda B, Riedewald M, Thatte M, White W (2007) Cayuga: a high-performance event processing engine. In: Proceedings of the international conference on management of data (SIGMOD’07). ACM, pp 1100–1102. https://doi.org/10.1145/1247480.1247620

  • Chakravarthy S, Mishra D (1994) Snoop: an expressive event specification language for active databases. Data Knowl Eng 14(1):1–26. https://doi.org/10.1016/0169-023X(94)90006-X

    Article  Google Scholar 

  • Cugola G, Margara A (2010) Tesla: a formally defined event specification language. In: Proceedings of the international conference on distributed event-based systems (DEBS’10). ACM, pp 50–61. https://doi.org/10.1145/1827418.1827427

  • Cugola G, Margara A (2012a) Complex event processing with t-rex. J Syst Softw 85(8):1709–1728. https://doi.org/10.1016/j.jss.2012.03.056

    Article  Google Scholar 

  • Cugola G, Margara A (2012b) Low latency complex event processing on parallel hardware. J Parallel Distrib Comput 72(2):205–218. https://doi.org/10.1016/j.jpdc.2011.11.002

    Article  Google Scholar 

  • Cugola G, Margara A (2012c) Processing flows of information: from data stream to complex event processing. ACM Comput Surv 44(3):15:1–15:62. https://doi.org/10.1145/2187671.2187677

    Article  Google Scholar 

  • Dousson C, Le Maigat P (2007) Chronicle recognition improvement using temporal focusing and hierarchization. In: Proceedings of the international joint conference on artificial intelligence (IJCAI’07), Morgan Kaufmann, pp 324–329

    Google Scholar 

  • Esper (2017) http://www.espertech.com/esper/

  • Etzion O, Niblett P (2010) Event processing in action. Manning Publications Co., Greenwich

    Google Scholar 

  • Gyllstrom D, Agrawal J, Diao Y, Immerman N (2008) On supporting kleene closure over event streams. In: Proceedings of the international conference on data engineering (ICDE’08). IEEE, pp 1391–1393. https://doi.org/10.1109/ICDE.2008.4497566

  • Kolchinsky I, Sharfman I, Schuster A (2015) Lazy evaluation methods for detecting complex events. In: Proceedings of the international conference on distributed event-based systems (DEBS’15). ACM, pp 34–45. https://doi.org/10.1145/2675743.2771832

  • Mei Y, Madden S (2009) Zstream: a cost-based query processor for adaptively detecting composite events. In: Proceedings of the international conference on management of data (SIGMOD’09). ACM, pp 193–206. https://doi.org/10.1145/1559845.1559867

  • Mutschler C, Ziekow H, Jerzak Z (2013) The debs 2013 grand challenge. In: Proceedings of the international conference on distributed event-based systems (DEBS’13). ACM, pp 289–294. https://doi.org/10.1145/2488222.2488283

  • Patroumpas K, Artikis A, Katzouris N, Vodas M, Theodoridis Y, Pelekis N (2015) Event recognition for maritime surveillance. In: Proceedings of the international conference on extending database technology (EDBT’15), OpenProceedings.org, pp 629–640. https://doi.org/10.5441/002/edbt.2015.63

  • Schultz-Møller NP, Migliavacca M, Pietzuch P (2009) Distributed complex event processing with query rewriting. In: Proceedings of the international conference on distributed event-based systems (DEBS’09). ACM, pp 4:1–4:12. https://doi.org/10.1145/1619258.1619264

  • Terroso-Saenz F, Valdes-Vela M, Sotomayor-Martinez C, Toledo-Moreo R, Gomez-Skarmeta AF (2012) A cooperative approach to traffic congestion detection with complex event processing and vanet. Trans Intell Transp Syst 13(2):914–929. https://doi.org/10.1109/TITS.2012.2186127

    Article  Google Scholar 

  • White W, Riedewald M, Gehrke J, Demers A (2007) What is “next” in event processing? In: Proceedings of the symposium on principles of database systems (PODS’07). ACM, pp 263–272. https://doi.org/10.1145/1265530.1265567

  • Wu E, Diao Y, Rizvi S (2006) High-performance complex event processing over streams. In: Proceedings of the international conference on management of data (SIGMOD’06). ACM, pp 407–418, https://doi.org/10.1145/1142473.1142520

  • Yao W, Chu CH, Li Z (2011) Leveraging complex event processing for smart hospitals using RFID. J Netw Comput Appl 34(3):799–810. https://doi.org/10.1016/j.jnca.2010.04.020

    Article  Google Scholar 

  • Zhang H, Diao Y, Immerman N (2014) On complexity and optimization of expensive queries in complex event processing. In: Proceedings of the international conference on management of data (SIGMOD’14). ACM, pp 217–228. https://doi.org/10.1145/2588555.2593671

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Alessandro Margara .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2019 Springer Nature Switzerland AG

About this entry

Check for updates. Verify currency and authenticity via CrossMark

Cite this entry

Margara, A. (2019). Pattern Recognition. In: Sakr, S., Zomaya, A.Y. (eds) Encyclopedia of Big Data Technologies. Springer, Cham. https://doi.org/10.1007/978-3-319-77525-8_189

Download citation

Publish with us

Policies and ethics