[HAL] BigDataFr recommends: Distributed Data Stream Processing and Edge Computing: A Survey on Resource Elasticity and Future Directions

BigDataFr recommends: Smarter Round Robin Scheduling Algorithm for Cloud Computing and Big Data Abstract […] Under several emerging application scenarios, such as in smart cities, operational monitoring of large infrastructure, wearable assistance, and Internet of Things, continuous data streams must be processed under very short delays. Several solutions, including multiple software engines, have been developed […]

[Datasciencecentral] BigDataFr recommends: A Simple Introduction to Complex Stochastic Processes

BigDataFr recommends: Introduction to Market Mix Modeling […] Stochastic processes have many applications, including in finance and physics. It is an interesting model to represent many phenomena. Unfortunately the theory behind it is very difficult, making it accessible to a few ‘elite’ data scientists, and not popular in business contexts. One of the most simple […]

[Dataconomy] BigDataFr recommends: Blockchain and Data Storage: The Future is Decentralized

BigDataFr recommends: Blockchain and Data Storage: The Future is Decentralized […] 2017 was the year when blockchain technology burst into the public consciousness. Even beyond the truly startling rise of cryptocurrencies, we became aware of how a range of markets could be transformed by applications built on the technology. But as with any emerging technology […]

[Forbes France] BigDataFr recommande : Premières Saveurs Du CES 2018, Vers Des Technologies Plus Humaines

BigDataFr recommande : Premières Saveurs Du CES 2018, Vers Des Technologies Plus Humaines […]Quitte d’ailleurs à marcher sur les plates-bandes du Mobile World Congress de Barcelone, l’événement mondial de la GSMA, le club des opérateurs télécom. Il est indéniable que les critiques, pour beaucoup jalouses, faites au CES, coïncident avec une montée en puissance qualitative […]

[arXiv] BigDataFr recommends: Parallel Markov Chain Monte Carlo for Bayesian Hierarchical Models with Big Data, in Two Stages

BigDataFr recommends: Parallel Markov Chain Monte Carlo for Bayesian Hierarchical Models with Big Data, in Two Stages […] Subjects: Methodology (stat.ME) Due to the escalating growth of big data sets in recent years, new parallel computing methods have been developed for large scale Bayesian analysis. These methods partition large data sets by observations into subsets, […]

[HAL] BigDataFr recommends: Sequential linear regression with online standardized data

BigDataFr recommends: Sequential linear regression with online standardized data Abstract […] The present study addresses the problem of sequential least square multidimensional linear regression, particularly in the case of a data stream, using a stochastic approximation process. To avoid the phenomenon of numerical explosion which can be encountered and to reduce the computing time in […]

[L’Etudiant] BigDataFr recommande : 5 bonnes raisons de se tourner vers les métiers de l’industrie

BigDataFr recommande : 5 bonnes raisons de se tourner vers les métiers de l’industrie Usine 4.0, industrie du futur… En 2018, le secteur connaît une embellie, embauche à nouveau, forme et paie souvent mieux que d’autres. 1. Au moins 250.000 recrutements par an jusqu’en 2025 « Nous prévoyons 250.000 embauches chaque année dans l’industrie dont 100.000 […]

[Forbes France] BigDataFr recommande : Thales Et Gemalto Vont Donner Naissance Au Numéro 2 Mondial De La Cybersécurité

BigDataFr recommande : Thales Et Gemalto Vont Donner Naissance Au Numéro 2 Mondial De La Cybersécurité […]La Bourse de Paris a revêtu ses plus beaux habits de lumière ce lundi matin pour « fêter » la future union entre Thalès et Gemalto. Preuve de cet enthousiasme débordant, les titres de l’équipementier aéronautique et de défense […]

[arXiv] BigDataFr recommends: Deep Learning for IoT Big Data and Streaming Analytics: A Survey

BigDataFr recommends: Deep Learning for IoT Big Data and Streaming Analytics: A Survey […] Subjects: Learning (cs.LG); Artificial Intelligence (cs.AI); Databases (cs.DB); Networking and Internet Architecture (cs.NI) In the era of the Internet of Things (IoT), an enormous amount of sensing devices collect and/or generate various sensory data over time for a wide range of […]

[HAL] BigDataFr recommends: Distributed Data Stream Processing and Edge Computing: A Survey on Resource Elasticity and Future Directions

BigDataFr recommends: Distributed Data Stream Processing and Edge Computing: A Survey on Resource Elasticity and Future Directions Abstract […] Under several emerging application scenarios, such as in smart cities, operational monitoring of large infrastructure, wearable assistance, and Internet of Things, continuous data streams must be processed under very short delays. Several solutions, including multiple software […]