Search Results - "Complex Event Processing"

Automated Discovery of CEP Applications with Evolutionary Computing

Authors: Appetito, Giulio Medvet, Eric Gulisano, Vincenzo Massimiliano

Source: Relaxed Semantics Across the Data Analytics Stack (RELAX-DN) 19th ACM International Conference on Distributed and Event-Based Systems, DEBS 2025 , Gothenburg, Sweden Debs 2025 Proceedings of the 19th ACM International Conference on Distributed and Event Based Systems. :33-38

Subject Terms: Complex Event Processing, Evolutionary Computing

File Description: electronic

Access URL: https://research.chalmers.se/publication/547929
https://research.chalmers.se/publication/547929/file/547929_Fulltext.pdf

Towards Efficient Video Stream Analysis: A Distributed Deep Learning Framework: The DiVA Approach

Authors: Cobanoglu, Huseyin C. Ay, Betul Bulut, Faruk et al.

Contributors: Cobanoglu, Huseyin C. Ay, Betul Bulut, Faruk et al.

Source: Traitement du Signal. 42:1541-1552

Subject Terms: Complex Event Processing (CEP), object detection, YOLO, Deepstream SDK, Triton Inference Server

Access URL: https://hdl.handle.net/20.500.12831/26202
https://doi.org/10.18280/ts.420326

Tools and techniques for real-time data processing: A review

Authors: Rani, Sangeeta

Source: International Journal of Science and Research Archive. 14:1872-1881

Subject Terms: Stream processing, Complex event processing, In-memory computing, Real-time data processing, Micro-batching, Windowing

Analytical review of methods and technologies for real-time big data processing in IoT infrastructures

Source: Problems of Informatization and Management; Vol. 2 No. 82 (2025); 19-25
Проблемы информатизации и управления; Том 2 № 82 (2025); 19-25
Проблеми iнформатизацiї та управлiння; Том 2 № 82 (2025); 19-25

Subject Terms: виявлення аномалій, потокова аналітика, Apache Kafka, великі дані, Internet of Things, обробка в реальному часі, адаптивне навчання, adaptive learning, Complex Event Processing, Flink, anomaly detection, Інтернет речей, Edge/Fog/Cloud, big data, stream analytics, real-time processing

File Description: application/pdf

Access URL: https://jrnl.nau.edu.ua/index.php/PIU/article/view/20364

Diseño de un sistema de percepción del contexto para el entorno intra-vehicular. Design of a context-aware system for the intr-vehicular environment

Authors: Terroso Sáenz, Fernando

Thesis Advisors: Valdés Vela, Mercedes, Skarmeta Gómez, Antonio Fernando, Universidad de Murcia. Departamento de Ingeniería de la Información y las Comunicaciones

Source: TDR (Tesis Doctorales en Red)

Subject Terms: Sistema sensible al contexto, Procesamiento de Eventos Complejos (CEP), Lógica difusa, Context-aware system, Complex Event Processing (CEP), Fuzzy logic, Ingeniería Informática

File Description: application/pdf

Access URL: http://hdl.handle.net/10803/119365

Cepair: an AI-powered and fog-based predictive CEP system for air quality monitoring

Authors: Şimsek, M.U. Kök, İ. Özdemir, S.

Source: Cluster Computing. 27:9107-9121

Subject Terms: Internet of things, Air quality monitoring, Complex events, Air pollution, Complex networks, Event Processing, 02 engineering and technology, Complex event processing, Fog, Internet of things (IoT), 11. Sustainability, Long short-term memory, 0202 electrical engineering, electronic engineering, information engineering, Internet of thing, Pollutant gas, End-to-end network, Industrial emissions, Complex event processing (CEP), Deep learning, 13. Climate action, Processing systems, Air quality, Network-delay, Fog computing, Decision making, Forecasting

Remote intelligent test method and application of relay protection of smart substation based on autonomous controllable technology

Authors: MEN Qiang LIU Tao ZHANG Jun et al.

Source: Diance yu yibiao, Vol 62, Iss 5, Pp 185-192 (2025)

Subject Terms: relay protection, autonomous and controllable, complex event processing algorithms, remote test, Instruments and machines, QA71-90, Electrical engineering. Electronics. Nuclear engineering, TK1-9971, Science

File Description: electronic resource

Relation: http://www.emijournal.net/dcyyben/ch/reader/create_pdf.aspx?file_no=20220819008&flag=1&journal_id=dcyyben&year_id=2025; https://doaj.org/toc/1001-1390

Access URL: https://doaj.org/article/31bcca3ee6264073840c7602c0cf873f

APP-CEP: Adaptive Pattern-Level Privacy Protection in Complex Event Processing Systems: Adaptive Pattern-level Privacy Protection in Complex Event Processing Systems

Authors: Lotfian Delouee, M. Degeler, V. Amthor, P. et al.

Contributors: Lotfian Delouee, M. Degeler, V. Amthor, P. et al.

Source: Proceedings of the 10th International Conference on Information Systems Security and Privacy. :486-497

Subject Terms: Stream Processing, Distributed Complex Event Processing, Privacy, Pattern, Adaptation, 16. Peace & justice

File Description: application/pdf

Access URL: https://dare.uva.nl/personal/pure/en/publications/appcep-adaptive-patternlevel-privacy-protection-in-complex-event-processing-systems(0a5a6035-e779-4d09-8c8f-4929bb9d6f6d).html
https://doi.org/10.5220/0012358700003648
https://hdl.handle.net/11245.1/0a5a6035-e779-4d09-8c8f-4929bb9d6f6d
https://research.rug.nl/en/publications/9ccf3872-64be-4b89-8ad0-beff3b46b233
https://hdl.handle.net/11370/9ccf3872-64be-4b89-8ad0-beff3b46b233
https://doi.org/10.5220/0012358700003648

RL4CEP: reinforcement learning for updating CEP rules

Authors: Afef Mdhaffar Ghassen Baklouti Yassine Rebai et al.

Source: Complex & Intelligent Systems, Vol 11, Iss 2, Pp 1-15 (2025)

Subject Terms: Deep Reinforcement Learning, Complex Event Processing, Financial Trading, CEP Rules, Rule Updates, Electronic computers. Computer science, QA75.5-76.95, Information technology, T58.5-58.64

File Description: electronic resource

Relation: https://doaj.org/toc/2199-4536; https://doaj.org/toc/2198-6053

Access URL: https://doaj.org/article/69ef11e2b0da4a6394a6c40349bb8ee1

Distributed mobile CEP for collaborative social computing

Authors: Alejandro Pérez-Vereda Carlos Canal Ramón Hervás

Source: RUIdeRA. Repositorio Institucional de la UCLM
Universidad de Castilla-La Mancha

Subject Terms: Complex event processing, Mobile-based collaborative social computing, Mobile CEP, Distributed CEP, 0202 electrical engineering, electronic engineering, information engineering, Collaborative social computing, Context awareness, 02 engineering and technology

File Description: application/pdf

Access URL: https://hdl.handle.net/10578/42916

Embracing Change: Incremental Updates of Discovered Event Queries

Authors: Sattler, Rebecca KLEEST-MEISSNER, Sarah Lange, Steven et al.

Contributors: Sattler, Rebecca KLEEST-MEISSNER, Sarah Lange, Steven et al.

Subject Terms: Complex Event Processing, Event Streams, Query Discovery, Incremental Updates

File Description: application/pdf

Relation: Lecture Notes in Informatics; [Ar14] Artikis, Alexander; Weidlich, Matthias; Schnitzler, François; Boutsis, Ioannis; Liebig, Thomas; Piatkowski, Nico; Bockermann, Christian; Morik, Katharina; Kalogeraki, Vana; Marecek, Jakub; Gal, Avigdor; Mannor, Shie; Gunopulos, Dimitrios; Kinane, Dermot: Heterogeneous Stream Processing and Crowdsourcing for Urban Traffic Management. In (Amer-Yahia, Sihem; Christophides, Vassilis; Kementsietsidis, Anastasios; Garofalakis, Minos N.; Idreos, Stratos; Leroy, Vincent, eds): Proceedings of the 17th International Conference on Extending Database Technology, EDBT 2014, Athens, Greece, March 24-28, 2014. OpenProceedings.org, pp. 712–723, 2014. [CA12] Cugola, Gianpaolo; Alessandro: Processing flows of information: From data stream to complex event processing. ACM Comput. Surv., 44(3):15:1–15:62, 2012. [Ch10] Chandramouli, Badrish; Ali, Mohamed H.; Goldstein, Jonathan; Sezgin, Beysim; Raman, Balan Sethu: Data Stream Management Systems for Computational Finance. Computer, 43(12):45–52, 2010. [DBF20] Drozdyuk, Andriy; Buffett, Scott; Fleming, Michael W.: Incremental Sequential Rule Mining with Streaming Input Traces. In (Goutte, Cyril; Zhu, Xiaodan, eds): Advances in Artificial Intelligence. Springer International Publishing, Cham, pp. 79–91, 2020. [EO15] EODData: NASDAQ Intra-Day Data. https://eoddata.com/, 2015. Accessed: 2015-09-27. [Fo14] Fournier-Viger, Philippe; Gueniche, Ted; Zida, Souleymane; Tseng, Vincent S.: ERMiner: Sequential Rule Mining Using Equivalence Classes. In (Blockeel, Hendrik; van Leeuwen, Matthijs; Vinciotti, Veronica, eds): Advances in Intelligent Data Analysis XIII. Springer International Publishing, Cham, pp. 108–119, 2014. [FVNT11] Fournier-Viger, Philippe; Nkambou, Roger; Tseng, Vincent Shin-Mu: RuleGrowth: mining sequential rules common to several sequences by pattern-growth. In: Proceedings of the 2011 ACM symposium on applied computing. pp. 956–961, 2011. [GCW16] George, Lars; Cadonna, Bruno; Weidlich, Matthias: IL-Miner: Instance-Level Discovery of Complex Event Patterns. Proc. VLDB Endow., 10(1):25–36, September 2016. [Gi20] Giatrakos, Nikos; Alevizos, Elias; Artikis, Alexander; Deligiannakis, Antonios; Garofalakis, Minos N.: Complex event recognition in the Big Data era: a survey. VLDB J., 29(1):313–352, 2020. [KL19] Konovalenko, Iurii; Ludwig, André: Event processing in supply chain management - The status quo and research outlook. Comput. Ind., 105:229–249, 2019. [Kl22] Kleest-Meißner, Sarah; Sattler, Rebecca; Schmid, Markus L.; Schweikardt, Nicole; Weidlich, Matthias: Discovering Event Queries from Traces: Laying Foundations for Subsequence-Queries with Wildcards and Gap-Size Constraints. In (Olteanu, Dan; Vortmeier, Nils, eds): 25th International Conference on Database Theory, ICDT 2022, March 29 to April 1, 2022, Edinburgh, UK (Virtual Conference). volume 220 of LIPIcs. Schloss Dagstuhl - Leibniz-Zentrum für Informatik, pp. 18:1–18:21, 2022. [Kl23] Kleest-Meißner, Sarah; Sattler, Rebecca; Schmid, Markus L.; Schweikardt, Nicole; Weidlich, Matthias: Discovering Multi-Dimensional Subsequence Queries from Traces - From Theory to Practice. In (König-Ries, Birgitta; Scherzinger, Stefanie; Lehner, Wolfgang; Vossen, Gottfried, eds): Datenbanksysteme für Business, Technologie und Web (BTW 2023), 20. Fachtagung des GI-Fachbereichs „Datenbanken und Informationssysteme"(DBIS), 06.-10, März 2023, Dresden, Germany, Proceedings. volume P-331 of LNI. Gesellschaft für Informatik e.V., pp. 511–533, 2023. [MCT14] Margara, Alessandro; Cugola, Gianpaolo; Tamburrelli, Giordano: Learning from the Past: Automated Rule Generation for Complex Event Processing. In: Proceedings of the 8th ACM International Conference on Distributed Event-Based Systems. DEBS ’14, Association for Computing Machinery, New York, NY, USA, p. 47–58, 2014. [MGG13] Mallick, Bhawna; Garg, Deepak; Grover, P. S.: Incremental Mining of Sequential Patterns: Progress and Challenges. Intelligent Data Analysis, 17(3):507–530, January 2013. [Re12] Reiss, Charles; Tumanov, Alexey; Ganger, Gregory R; Katz, Randy H; Kozuch, Michael A: Towards understanding heterogeneous clouds at scale: Google trace analysis. Intel Science and Technology Center for Cloud Computing, Tech. Rep, 84:1–12, 2012. [RWH11] Reiss, Charles; Wilkes, John; Hellerstein, Joseph L: Google cluster-usage traces: format+schema. Google Inc., White Paper, 1:1–14, 2011. [YR15] Yun, Unil; Ryang, Heungmo: Incremental High Utility Pattern Mining with Static and Dynamic Databases. Applied Intelligence, 42(2):323–352, March 2015. [ZDI14] Zhang, Haopeng; Diao, Yanlei; Immerman, Neil: On complexity and optimization of expensive queries in complex event processing. In (Dyreson, Curtis E.; Li, Feifei; Özsu, M. Tamer, eds): International Conference on Management of Data, SIGMOD 2014, Snowbird, UT, USA, June 22-27, 2014. ACM, pp. 217–228, 2014. [Zh02] Zheng, Qingguo; Xu, Ke; Ma, Shilong; Lv, Weifeng: The Algorithms of Updating Sequetial Patterns, 2002. [ZXM03] Zheng, Qingguo; Xu, Ke; Ma, Shilong: When to Update the Sequential Patterns of Stream Data? In (Whang, Kyu-Young; Jeon, Jongwoo; Shim, Kyuseok; Srivastava, Jaideep, eds): Advances in Knowledge Discovery and Data Mining, 7th Pacific-Asia Conference, PAKDD 2003, Seoul, Korea, April 30 - May 2, 2003, Proceedings. volume 2637 of Lecture Notes in Computer Science. Springer, pp. 545–550, 2003.; P-361; https://hdl.handle.net/1942/45798; 437; 417; https://dl.gi.de/handle/20.500.12116/45882

Availability: https://hdl.handle.net/1942/45798
https://doi.org/10.18420/BTW2025-19
https://dl.gi.de/handle/20.500.12116/45882
https://hdl.handle.net/20.500.12116/45882

Seeking Higher Performance in Real-Time Data Processing through Complex Event Processing

Authors: Ortiz Bellot, Guadalupe Bazán Muñoz, Adrián Caballero Torres, Pablo et al.

Contributors: Ortiz Bellot, Guadalupe Bazán Muñoz, Adrián Caballero Torres, Pablo et al.

Source: ALLDATA 2023: The Ninth International Conference on Big Data, Small Data, Linked Data and Open Data

Subject Terms: Complex Event Processing, Event-driven Service-oriented Architecture, Internet of Things, Data Processing

File Description: application/pdf

Relation: info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2021-2023/PDC2022-133522-I00/ES/APLICACION DE TECNICAS AVANZADAS DE PROCESAMIENTO DE DATOS Y PRUEBA EN LA INDUSTRIA/; info:eu-repo/grantAgreement/Junta de Andalucía//P20_00865; http://hdl.handle.net/10498/36274; https://www.thinkmind.org/index.php?view=article&articleid=alldata_2023_1_40_80017

Availability: http://hdl.handle.net/10498/36274
https://www.thinkmind.org/index.php?view=article&articleid=alldata_2023_1_40_80017

CEPchain: A graphical model-driven solution for integrating complex event processing and blockchain (Abstract)

Authors: Boubeta Puig, Juan Rosa Bilbao, Jesús Mendling, Jan et al.

Contributors: Boubeta Puig, Juan Rosa Bilbao, Jesús Mendling, Jan et al.

Source: J. Boubeta-Puig, J. Rosa-Bilbao, y J. Mendling, "CEPchain: A graphical model-driven solution for integrating complex event processing and blockchain (Abstract)", en XXVI Jornadas de Ingeniería del Software y Bases de Datos (JISBD 2022), Santiago de Compostela, España: SISTEDES, sep. 2022, pp. 1-1. [En línea]. Disponible en: http://hdl.handle.net/11705/JISBD/2022/475

Subject Terms: Complex event processing, Blockchain, Smart contract, Model-driven development, Graphical modeling tool, Supply chain

File Description: application/pdf

Relation: info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/RTI2018-093608-B-C33/ES/MODELADO FORMAL Y METODOS AVANZADOS DE TESTING. APLICACIONES A MEDICINA Y SISTEMAS/; http://hdl.handle.net/10498/36250; http://hdl.handle.net/11705/JISBD/2022/475

Availability: http://hdl.handle.net/10498/36250
http://hdl.handle.net/11705/JISBD/2022/475

Problem Detection in the Edge of IoT Applications

Authors: Bernabé-Sánchez, Iván Fernández, Alberto Billhardt, Holger et al.

Source: Re-Unir. Archivo Institucional de la Universidad Internacional de La Rioja
Universidad Internacional de La Rioja (UNIR)
BURJC-Digital. Repositorio Institucional de la Universidad Rey Juan Carlos
Universidad Rey Juan Carlos
International Journal of Interactive Multimedia and Artificial Intelligence, Vol 8, Iss 3, Pp 85-97 (2023)

Subject Terms: Technology, intelligent agents, complex event processing, Ontologies, IJIMAI, ontologies, Intelligent Agents, Complex Event Processing, Internet Of Things (IoT), internet of things

File Description: application/pdf

Access URL: https://hdl.handle.net/10115/28547
https://doaj.org/article/5234b21ace544e39b3cfbfb6cd8a7988
https://reunir.unir.net/handle/123456789/15197

Utilizing Flink and Kafka Technologies for Real-Time Data Processing: A Case Study

Authors: BOZKURT, Alper EKİCİ, Furkan YETİSKUL, Hatice

Source: Volume: 24 177-183
The Eurasia Proceedings of Science Technology Engineering and Mathematics

Subject Terms: Çevresel ve Sürdürülebilir Süreçler, Environmental and Sustainable Processes, Complex event processing, Event management systems, Real-time data management, Streaming data

File Description: application/pdf

Access URL: https://dergipark.org.tr/tr/pub/epstem/issue/81264/1406274

Explaining Query Answers in Probabilistic Databases

Authors: Hichem Debbi

Source: Re-Unir. Archivo Institucional de la Universidad Internacional de La Rioja
Universidad Internacional de La Rioja (UNIR)

Subject Terms: Artificial intelligence, causality, Data Stream Management Systems and Techniques, Learning and Inference in Bayesian Networks, Computer Networks and Communications, Trajectory Data Mining and Analysis, Probabilistic Databases, probabilistic databases, Complex Event Processing, Search engine, Data science, Database, Causal Discovery, Artificial Intelligence, Database query, Sargable, Information retrieval, Relational database, query answers, Query optimization, Relational Database Systems, Probabilistic logic, Probabilistic Learning, Database theory, IJIMAI, Probabilistic database, Computer science, Computer Science, Physical Sciences, Signal Processing, Web search query, conjunctive queries, explanation, Query language

Access URL: https://reunir.unir.net/handle/123456789/15133
https://doi.org/10.9781/ijimai.2023.07.005
https://reunir.unir.net/handle/123456789/15133

AQuA-CEP: Adaptive Quality-Aware Complex Event Processing in the Internet of Things: Adaptive Quality-Aware Complex Event Processing in the Internet of Things

Authors: Majid Lotfian Delouee Boris Koldehofe Viktoriya Degeler

Source: Proceedings of the 17th ACM International Conference on Distributed and Event-based Systems. :13-24

Subject Terms: Stream Processing, Internet of Things, Complex Event Processing, Adaptation, Quality

File Description: application/pdf

Towards a data fabric framework for industrial metaverse integration

Authors: Lovén Lauri Pirttikangas Susanna Kumar Abhishek et al.

Contributors: Lovén Lauri Pirttikangas Susanna Kumar Abhishek et al.

Source: Sustainable Computing: Informatics and Systems. 47:101132

Subject Terms: Distributed computing continuum, Metaverse, Computer and information sciences, AI interconnection, Internet of Things, 3D virtual environment, Industrial metaverse, Data fabric, Complex Event Processing, Supply chain network

File Description: application/pdf

Access URL: http://hdl.handle.net/10138/596927

Programming IoT systems: A focused conceptual framework and survey of approaches

Authors: Casadei, Roberto Fornari, Fabrizio Mariani, Stefano et al.

Contributors: Casadei, Roberto Fornari, Fabrizio Mariani, Stefano et al.

Subject Terms: Complex event processing, Internet of thing, IoT programming, Macro programming, Micro programming, Stream processing, Survey

Relation: info:eu-repo/semantics/altIdentifier/wos/WOS:001437329700001; volume:31; firstpage:1; lastpage:27; journal:INTERNET OF THINGS; https://hdl.handle.net/11380/1374070

Availability: https://hdl.handle.net/11380/1374070
https://doi.org/10.1016/j.iot.2025.101548

ITS4Tsunamis: An Intelligent Transportation System for tsunami emergencies

Authors: Díaz, Gregorio Macià, Hermenegilda Brazález, Enrique et al.

Contributors: Díaz, Gregorio Macià, Hermenegilda Brazález, Enrique et al.

Source: Journal of Computational Science - 2024, Vol. 81 pp. 1-15

Subject Terms: Intelligent Transportation System, Tsunami, Complex Event Processing, Fuzzy Logic, Colored Petri Nets

File Description: application/pdf

Relation: http://hdl.handle.net/10498/35558

Availability: http://hdl.handle.net/10498/35558
https://doi.org/10.1016/J.JOCS.2024.102360