CORDIS proporciona enlaces a los documentos públicos y las publicaciones de los proyectos de los programas marco HORIZONTE.
Los enlaces a los documentos y las publicaciones de los proyectos del Séptimo Programa Marco, así como los enlaces a algunos tipos de resultados específicos, como conjuntos de datos y «software», se obtienen dinámicamente de OpenAIRE .
Resultado final
Final demonstrator together with the final report including the evaluation of the whole technology developed during the project in the Hot Strip Mill process in the ArcelorMittal steelmaking factory.
Hybrid computation tested system (se abrirá en una nueva ventana)Tested system implementation of hybrid computation for Apache Flink
Second prototype (V2) (se abrirá en una nueva ventana)Second version of the above, for the second prototype
Optimizer Prototype (se abrirá en una nueva ventana)Prototype of a domain specific optimizer for the declarative language and Apache Flink
Scalable online machine learning algorithms for streaming (se abrirá en una nueva ventana)This deliverable will introduce Version 1 of SOLMA that encompasses new scalable online machine learning algorithms.
Optimizer finished implementation (se abrirá en una nueva ventana)Finished implementation of a domain specific optimizer for the declarative language and Apache Flink.
Updateable-state management prototype implementation (se abrirá en una nueva ventana)Implemented system for updateable state for Apache Flink
Third prototype (V3) (se abrirá en una nueva ventana)Third version of the above, for the third prototype
Software implementation and integration with Apache Flink (se abrirá en una nueva ventana)This deliverable includes the implementation of the 3 layers of the proposed technical solution. Data Collector, and Incremental Analytics Engine layers will be implemented within the core of Apache Flink technology. The Visualization layer will be implemented as client-side library
Basic scalable streaming algorithms (se abrirá en una nueva ventana)This deliverable is in the form of software (joint with publications) will present Version 0 of the library covering a set of basic scalable streaming algorithms produced in Task 4.2.
Scalable drift and anomaly detection (se abrirá en una nueva ventana)This deliverable will result in Version 2 of SOLMA covering new scalable drift and anomaly detection algorithms.
Hybrid computation prototype implementation (se abrirá en una nueva ventana)Prototypical implementation of hybrid computation for Apache Flink covering basic workflows
First prototype (V1) (se abrirá en una nueva ventana)The first version of the evolving prototype in the validation scenario. An associated evolving document will provide, for each prototype execution, the objectives definition, KPIs involved and their evaluation after the prototype execution phase.
Declarative language tested implementation (se abrirá en una nueva ventana)Tested implementation of a declarative language for (online) machine learning
Declarative language finished implementation (se abrirá en una nueva ventana)Finished implementation of a declarative language for (online) machine learning
Scalable Online algorithms in Flink (se abrirá en una nueva ventana)This deliverable will release the final implementation in Flink of the streaming algorithms produced earlier through D4.2-D4.4.
Declarative language prototype implementation (se abrirá en una nueva ventana)Implementation of a basic declarative language prototype
Details for scientific dissemination activities and materials along with the time line and success indicators. It includes a record of activities related to scientific dissemination that have been undertaken during the first half of the project, and those planned for the second period.
Scenario details and objectives description (se abrirá en una nueva ventana)This document details the Hot Strip Mill process in terms of sensor data characteristics and data workflow. It also describes the scenario objectives from the end-user perspective.
Report on community engagement and technology transfer activities – V2 (se abrirá en una nueva ventana)The final version of the deliverable compiles a record of all the activities related to community engagement and technology transfer developed in the course of the project
Scenario development and KPI definition for the PROTEUS solution (se abrirá en una nueva ventana)A report that presents the review of benchmarks, the typical scenarios used to define the parameters of the PROTEUS solution and requirements, benchmarks and KPIs
PROTEUS evaluation and impact assessment (se abrirá en una nueva ventana)A report which details the gains associated with the PROTEUS solution, using quantitative information, and which identifies areas for further improvement and investment
Guidelines for interacting and visualization information in Big Data environments (se abrirá en una nueva ventana)This document presents the results of the research in new ways of presenting and working with large amount of data and stream data
Visualization requirements for massive online machine learning strategies (se abrirá en una nueva ventana)This deliverable defines functional and non-functional requirements for the visualization system regarding online machine learning strategies
Report on project communication and engagement activities – V2 (se abrirá en una nueva ventana)The final report of communication and engagement activities, compiling a list of all activities developed for communication with other relevant initiatives in the course of the project.
Report on scientific dissemination activities – V2 [ (se abrirá en una nueva ventana)Final report of scientific dissemination activities. The final version compiles a record of all activities related to scientific dissemination developed in the course of the project.
Catalogue of scientific and technical requirements (se abrirá en una nueva ventana)This document describes the catalogue of scientific and technical challenges/requirements derived from the industrial scenario needs.
Report on community engagement and technology transfer activities – V1 (se abrirá en una nueva ventana)Details for the community engagement and technology transfer strategy for the project. The intermediate report includes a record of activities related to community creation and engagement, and technology transfer developed in the course of the first half of the project, and those planned for the second half
Declarative language syntax definition (se abrirá en una nueva ventana)Syntax definition for a declarative language based on machine learning requirements
Architecture design for supporting incremental visual methods (se abrirá en una nueva ventana)This deliverable defines the technical design of the 3-layer based architecture for implementing the visualization system
Report on project communication and engagement activities – V1 (se abrirá en una nueva ventana)Details for communication and engagement activities and materials along with the time line and success indicators. It includes a record of communication activities that have been undertaken during the first half of the project, and those planned for the second period.
Investigative overview of targeted techniques and algorithms (se abrirá en una nueva ventana)The state of the art of scalable streaming algorithms for distributed environments, non-scalable streaming algorithms, and selected prominent non-streaming and non-scalable algorithms that can be approximated by an online version.
The PROTEUS factsheet will be an early dissemination leaflet for dissmeination and communication purposes, including the most relevant information of the project in a nutshell, and will be available from the very begining as an initial public brochure.
PROTEUS project website (se abrirá en una nueva ventana)PROTEUS project public website, to be active and regularly updated during the whole project.
Publicaciones
Autores:
Bonaventura Del Monte
Publicado en:
Proceedings of the VLDB 2017 PhD Workshop, Edición 28 August 2017, 2017
Editor:
N/A
Autores:
Krzysztof Trawinski, Manuel Chica, David P. Pancho, Sergio Damas, and Oscar Cordón
Publicado en:
Proceeding of the MIC and MAEB 2017 Conferences, Edición June 2017, 2017, Página(s) 963-972, ISBN 978-84-697-4275-1
Editor:
Universitat Pompeu Fabra
Autores:
Jonas Traub, Philipp Marian Grulich, Alejandro Rodriguez Cuellar, Sebastian Bress, Asterios Katsifodimos, Tilmann Rabl, Volker Markl
Publicado en:
2018 IEEE 34th International Conference on Data Engineering (ICDE), 2018, Página(s) 1300-1303, ISBN 978-1-5386-5520-7
Editor:
IEEE
DOI:
10.1109/ICDE.2018.00135
Autores:
W. Jamil, N-C. Duong, W. Wang, C. Mansouri, S. Mohamad, A. Bouchachia
Publicado en:
Proceedings of the 12th European Conference on Software Architecture Companion Proceedings - ECSA '18, 2018, Página(s) 1-4, ISBN 9781-450364836
Editor:
ACM Press
DOI:
10.1145/3241403.3241438
Autores:
Jeyhun Karimov, Tilmann Rabl, Asterios Katsifodimos, Roman Samarev, Henri Heiskanen, Volker Markl
Publicado en:
2018 IEEE 34th International Conference on Data Engineering (ICDE), 2018, Página(s) 1507-1518, ISBN 978-1-5386-5520-7
Editor:
IEEE
DOI:
10.1109/ICDE.2018.00169
Autores:
Bouchachia, Abdelhamid; Kalnishkan, Y; Jamil, W.
Publicado en:
ECML/PKDD 2016 Workshop on Large-scale Learning from Data Streams in Evolving Environments (STREAMEVOLV-2016), Edición 1, 2016, Página(s) 69-82
Editor:
N/A
Autores:
Andreas Kunft, Alexander Alexandrov, Asterios Katsifodimos, Volker Markl
Publicado en:
BeyondMR '16 Proceedings of the 3rd ACM SIGMOD Workshop on Algorithms and Systems for MapReduce and Beyond, Edición BeyondMR '16 26-06-2016, 2016, ISBN 978-1-4503-4311-4
Editor:
ACM
DOI:
10.1145/2926534.2926540
Autores:
Alexander Alexandrov , Andreas Salzmann , Georgi Krastev , Asterios Katsifodimos , Volker Markl
Publicado en:
ACM SIGMOD '16 Proceedings of the 2016 SIGMOD International Conference on Management of Data, Edición Sigmod16, 26-06-2016, 2016, Página(s) 2073-2076, ISBN 978-1-4503-3531-7
Editor:
ACM
DOI:
10.1145/2882903.2899396
Autores:
Alexander Alexandrov, Asterios Katsifodimos, Georgi Krastev, Volker Markl
Publicado en:
ACM SIGMOD Record, Edición Volume 45, Number 1, March 2016, 2016, Página(s) 51-58, ISSN 0163-5808
Editor:
ACM
DOI:
10.1145/2949741.2949754
Autores:
Ignacio Garcia, Ruben Casado, Abdelhamid Bouchachia
Publicado en:
2016 IEEE 4th International Conference on Future Internet of Things and Cloud Workshops (FiCloudW), 2016, Página(s) 177-182, ISBN 978-1-5090-3946-3
Editor:
IEEE
DOI:
10.1109/W-FiCloud.2016.46
Autores:
Saad Mohamad, Abdelhamid Bouchachia, Moamar Sayed-Mouchaweh
Publicado en:
2015 IEEE International Conference on Evolving and Adaptive Intelligent Systems (EAIS), Edición STREAMEVOLV-2016, 23 September 2016, 2015, Página(s) 1-7, ISBN 978-1-4673-6698-4
Editor:
IEEE
DOI:
10.1109/EAIS.2015.7368803
Autores:
Saad Mohamad, Moamar Sayed-Mouchaweh and Abdelhamid Bouchachia
Publicado en:
ECML/PKDD 2016 Workshop on Large-scale Learning from Data Streams in Evolving Environments, Edición STREAMEVOLV-2016, 23 September 2016, 2016, Página(s) 51-68
Editor:
-
Autores:
Roberto Díaz-Morales, Ángel Navia-Vázquez
Publicado en:
Knowledge-Based Systems, Edición 136, 2017, Página(s) 183-186, ISSN 0950-7051
Editor:
Elsevier BV
DOI:
10.1016/j.knosys.2017.09.007
Autores:
Daniela Pohl, Abdelhamid Bouchachia, Hermann Hellwagner
Publicado en:
Expert Systems with Applications, Edición 93, 2018, Página(s) 232-244, ISSN 0957-4174
Editor:
Pergamon Press Ltd.
DOI:
10.1016/j.eswa.2017.10.026
Autores:
Saad Mohamad, Moamar Sayed-Mouchaweh, Abdelhamid Bouchachia
Publicado en:
Neural Networks, Edición 98, 2018, Página(s) 1-15, ISSN 0893-6080
Editor:
Pergamon Press Ltd.
DOI:
10.1016/j.neunet.2017.10.004
Autores:
José de Jesús Rubio, Abdelhamid Bouchachia
Publicado en:
Soft Computing, Edición 21/9, 2017, Página(s) 2357-2366, ISSN 1432-7643
Editor:
Springer Verlag
DOI:
10.1007/s00500-015-1946-4
Autores:
Andreas Kunft, Asterios Katsifodimos, Sebastian Schelter, Tilmann Rabl, Volker Markl
Publicado en:
Proceedings of the VLDB Endowment, Edición 10/13, 2017, Página(s) 2061-2072, ISSN 2150-8097
Editor:
ACM
DOI:
10.14778/3151106.3151110
Autores:
Díaz Morales, R. , & Navia Vázquez, Á
Publicado en:
Pattern Recognition Letters, Edición Volume 84, 1 December 2016, 2016, Página(s) 91-98, ISSN 0167-8655
Editor:
Elsevier BV
DOI:
10.1016/j.patrec.2016.08.015
Autores:
Mohamad, S., Bouchachia, A. and Sayed-Mouchaweh, M.
Publicado en:
IEEE Transactions on Neural Networks and Learning Systems, Edición N/A (early access), 2016, Página(s) 1-13, ISSN 2162-2388
Editor:
IEEE
DOI:
10.1109/TNNLS.2016.2614393
Autores:
Waqas Jamil, Abdelhamid Bouchachia
Publicado en:
Advances in Computational Intelligence Systems - Contributions Presented at the 18th UK Workshop on Computational Intelligence, September 5-7, 2018, Nottingham, UK, Edición 840, 2019, Página(s) 83-95, ISBN 978-3-319-97981-6
Editor:
Springer International Publishing
DOI:
10.1007/978-3-319-97982-3_7
Autores:
Abdelhamid Bouchachia
Publicado en:
Handbook on Computational Intelligence, Edición May 2016, 2016, Página(s) 185-207, ISBN 978-981-4675-00-0
Editor:
WORLD SCIENTIFIC
DOI:
10.1142/9789814675017_0005
Autores:
Ahmad Lotfi, Hamid Bouchachia, Alexander Gegov, Caroline Langensiepen, Martin McGinnity
Publicado en:
Advances in Intelligent Systems and Computing, 2019, ISBN 978-3-319-97982-3
Editor:
Springer
DOI:
10.1007/978-3-319-97982-3
Autores:
M.S. Mouchaweh, A. Bifet, A. Bouchachia, J. Gama, R. Ribeiro
Publicado en:
2017
Editor:
CEUR-WS.org
Autores:
Paris Carbone, Stephan Ewen, Seif Haridi, Asterios Katsifodimos, Volker Markl, Kostas Tzoumas
Publicado en:
Bulletin of the IEEE Computer Society Technical Committee on Data Engineering, Edición December 2015 Vol. 38 No. 4, Edición on Next-Generation Stream Processing Systems, 2015, Página(s) 28-38
Editor:
IEEE
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