[arXiv] BigDataFr recommends: Learning to Predict with Big Data

BigDataFr recommends: Learning to Predict with Big Data […] Subjects: Big spatio-temporal datasets, available through both open and administrative data sources, offer significant potential for social science research. The magnitude of the data allows for increased resolution and analysis at individual level. One of the issues researchers face with such data is the stationarity assumption. […]

[INHESJ] BigDataFr recommande : L’entreprise à l’heure de l’intelligence artificielle : Entre promesses et nouveaux défis

Défis Nº 8 – Publication : Novembre 2017 BigDataFr recommande : L’entreprise à l’heure de l’intelligence artificielle : Entre promesses et nouveaux défis […] Longtemps restée l’affaire de spécialistes, l’intelligence artificielle (IA) est désormais un défi pour tous : citoyens, monde de la recherche, entreprises et administration. Ce numéro réunit les analyses et témoignages des […]

[Datasciencecentral] BigDataFr recommends: Quantitative Alienation in the Workplace

BigDataFr recommends: Quantitative Alienation in the Workplace […] For my graduate paper, I studied perceptions of workplace stress through the critical lens of social disablement. Writing this paper was certainly an intellectual exercise that at the time didn’t seem to have many practical applications. I am therefore honoured to become better acquainted with the “mechanics” […]

[EducPros] BigDataFr recommande : Données personnelles : le règlement européen oblige les universités à se pencher sur leur data

BigDataFr recommends : Données personnelles : le règlement européen oblige les universités à se pencher sur leur data […] Universités et écoles produisent des données en continu, qui se comptent en pétaoctets, l’équivalent de milliers de disques durs personnels. Ces gisements d’informations liés à la recherche, à la pédagogie ou encore à l’administration doivent entrer […]

[arXiv] BigDataFr recommends: Collaborative Anomaly Detection Framework for handling Big Data of Cloud Computing

BigDataFr recommends: Collaborative Anomaly Detection Framework for handling Big Data of Cloud Computing […] Subjects: Cryptography and Security (cs.CR) With the ubiquitous computing of providing services and applications at anywhere and anytime, cloud computing is the best option as it offers flexible and pay-per-use based services to its customers. Nevertheless, security and privacy are the […]

[HAL] BigDataFr recommends: Raising Time Awareness in Model-Driven Engineering

BigDataFr recommends: Raising Time Awareness in Model-Driven Engineering Keywords: Model-Driven Engineering, Analytics, Big Data, Temporal Data, Internet of Things Abstract […] The conviction that big data analytics is a key for the success of modern businesses is growing deeper, and the mo-bilisation of companies into adopting it becomes increasingly important. Big data integration projects enable […]

[arXiv] BigDataFr recommends: Distributed Spatial Data Clustering as a New Approach for Big Data Analysis

BigDataFr recommends: Distributed Spatial Data Clustering as a New Approach for Big Data Analysis […] Subjects: Distributed, Parallel, and Cluster Computing (cs.DC) In this paper we propose a new approach for Big Data mining and analysis. This new approach works well on distributed datasets and deals with data clustering task of the analysis. The approach […]

[Deepmind] BigDataFr recommends: AlphaGo Zero: Learning from scratch

BigDataFr recommends: AlphaGo Zero: Learning from scratch Artificial intelligence research has made rapid progress in a wide variety of domains from speech recognition and image classification to genomics and drug discovery. In many cases, these are specialist systems that leverage enormous amounts of human expertise and data. However, for some problems this human knowledge may […]

[Datasciencecentral] BigDataFr recommends: How will Artificial Intelligence affect Your career?

BigDataFr recommends: How will Artificial Intelligence affect Your career? […] We have long been used to manual work being automated. We are finally at a juncture where even knowledge work is starting to see the same fate. Weren’t engineering, medicine and law supposed to be future-proof careers? For example, the world’s largest hedge fund Bridgewater […]

[Dataconomy] BigDataFr recommends: How Data Science is Serving Passengers at Lufthansa

BigDataFr recommends: How Data Science is Serving Passengers at Lufthansa […]The Lufthansa Group is about much more than just transporting passengers and air freight from A to B. The subsidiary company I work for is called “Lufthansa Industry Solutions” (LHIND for short). As well as dealing with the exciting challenges faced by the airline industry […]