Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Alejandro Vera-Baquero"'
Publikováno v:
International Journal of Information Systems and Project Management, Vol 3, Iss 1 (2022)
Big Data is a rapidly evolving and maturing field which places significant data storage and processing power at our disposal. To take advantage of this power, we need to create new means of collecting and processing large volumes of data at high spee
Externí odkaz:
https://doaj.org/article/82d2472ec4da47d2b583612be217ff14
Publikováno v:
EAI Endorsed Transactions on Scalable Information Systems, Vol 5, Iss 17, Pp 1-13 (2018)
Data analysis and monitoring of road networks in terms of reliability and performance are valuable but hard to achieve, especially when the analytical information has to be available to decision makers on time. The gathering and analysis of the obser
Externí odkaz:
https://doaj.org/article/b10334ff3e4e41908bd256fb577cae9d
Publikováno v:
International Journal of Information Systems and Project Management, Vol 03, Iss 01, Pp 5-26 (2015)
Big Data is a rapidly evolving and maturing field which places significant data storage and processing power at our disposal. To take advantage of this power, we need to create new means of collecting and processing large volumes of data at high spee
Externí odkaz:
https://doaj.org/article/990588c1b3da42fea67c533c449ea49f
Publikováno v:
International journal of information systems and project management
International Journal of Information Systems and Project Management, Vol 03, Iss 01, Pp 5-26 (2015)
International Journal of Information Systems and Project Management, Vol 03, Iss 01, Pp 5-26 (2015)
Big Data is a rapidly evolving and maturing field which places significant data storage and processing power at our disposal. To take advantage of this power, we need to create new means of collecting and processing large volumes of data at high spee
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d7af8c54b6bb1a807a9a723d54e9b6df
https://doi.org/10.12821/ijispm030101
https://doi.org/10.12821/ijispm030101
Publikováno v:
IT Professional. 23:34-41
The migration of legacy monolith systems toward a microservice architecture is a large-scale, nontrivial technical activity and investment. This shift would be infeasible without the use of robust underlying software that can sustain a big part of th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::af55d547d1cb7e8ab9b309e1e4639771
https://doi.org/10.1109/mitp.2020.2994993
https://doi.org/10.1109/mitp.2020.2994993
Publikováno v:
Telematics and Informatics. 33:793-807
Timely access to performance data is essential to optimise business processes.We introduce a cloud-based infrastructure that monitors process performance in real-time on big data environments.We propose an event correlation algorithm that links a mas
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d6301f7b2d0cd92b87043cbde68ee95c
https://doi.org/10.1016/j.tele.2015.12.005
https://doi.org/10.1016/j.tele.2015.12.005
Publikováno v:
e5
EAI Endorsed Transactions on Scalable Information Systems
EAI Endorsed Transactions on Scalable Information Systems, Vol 5, Iss 17, Pp 1-13 (2018)
EAI Endorsed Transactions on Scalable Information Systems
EAI Endorsed Transactions on Scalable Information Systems, Vol 5, Iss 17, Pp 1-13 (2018)
Data analysis and monitoring of road networks in terms of reliability and performance are valuable but hard to achieve, especially when the analytical information has to be available to decision makers on time. The gathering and analysis of the obser
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6c293a78ff42ab139dfbd282a16b57dd
http://arxiv.org/abs/1806.05855
http://arxiv.org/abs/1806.05855
Publikováno v:
Studies in Big Data ISBN: 9789811084751
This chapter presents a data-centric software architecture that provides timely data access to key performance indicators (KPIs) about process performance. This architecture comes in the form of an analytical framework that lies on big-data and cloud
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e16e5bdffe2c66cdbf27a57730617a62
https://doi.org/10.1007/978-981-10-8476-8_3
https://doi.org/10.1007/978-981-10-8476-8_3
Publikováno v:
The Learning Organization. 22:215-228
Purpose – This paper aims to present a solution that enables organizations to monitor and analyse the performance of their business processes by means of Big Data technology. Business process improvement can drastically influence in the profit of c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::706ef774c6f9aa6803fa5e3a644f9de8
https://doi.org/10.1108/tlo-05-2014-0023
https://doi.org/10.1108/tlo-05-2014-0023
Publikováno v:
Procedia Technology. 16:11-21
Process performance improvement initiatives generally require the application of both knowledge management techniques and analysis tools to assist business users in decision making. Decision support systems (DSS) are a valuable asset to measure proce
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::121565299cb61ae18b37f4783cd42a23