[arXiv] BigDataFr recommends: Games and Big Data: A Scalable Multi-Dimensional Churn Prediction Model

BigDataFr recommends: Games and Big Data: Games and Big Data: A Scalable Multi-Dimensional Churn Prediction Model […] Subjects: Machine Learning (stat.ML) The emergence of mobile games has caused a paradigm shift in the video-game industry. Game developers now have at their disposal a plethora of information on their players, and thus can take advantage of […]

[HAL] BigDataFr recommends: A Distributed Framework for Large-Scale Time-Dependent Graph Analysis

BigDataFr recommends: A Distributed Framework for Large-Scale Time-Dependent Graph Analysis Abstract […] In the last few years, we have seen that many applications or computer problems are mobilized as a graph since this data structure gives a particular handling for some use cases such as social networks, bioinformatics, road networks and communication networks. Despite its […]

[Dataconomy] BigDataFr recommends: The Rise of the Fintechpreneur, and Why It Matters

BigDataFr recommends: The Rise of the Fintechpreneur, and Why It Matters […]The financial technology field is rapidly expanding, but remains in flux and continues to be unpredictable. Fintech’s use of AI, algorithms, and modern technologies can transform traditional banking, but still faces some resistance. Some fintech companies are finding billion-dollar markets in the gaps left […]

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

BigDataFr recommends: Raising Time Awareness in Model-Driven Engineering Vision Paper 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 companies to capture their relevant data, to efficiently store […]

[arXiv] BigDataFr recommends: Statistical Challenges of Big Brain Network Data

BigDataFr recommends: Statistical Challenges of Big Brain Network Data […] Subjects: Neurons and Cognition (q-bio.NC); Methodology (stat.ME) We explore the main characteristics of big brain network data that offer unique statistical challenges. The brain networks are biologically expected to be both sparse and hierarchical. Such unique characterizations put specific topological constraints onto statistical approaches and […]

[Le Parisien Etudiant] BigDataFr recommande : Travailler dans la Big Data : les 6 métiers recherchés vers lesquels s’orienter

BigDataFr recommande : Travailler dans la Big Data : les 6 métiers recherchés vers lesquels s’orienter. Stockage, manipulation et analyse de données en masse… pour tous ceux qui souhaitent s’orienter vers le Big Data, voici la présentation du phénomène et technologie derrière ce terme et les différents métiers (techniques et marketing) qui sont recherchés autour […]

[Dataconomy] BigDataFr recommends: The Future of Artificial Intelligence in Education

BigDataFr recommends: The Future of Artificial Intelligence in Education […]Artificial Intelligence has the potential to greatly improve and change education systems across the world. There is a strong possibility for artificial intelligence to be used to help teachers effectively streamline their instruction process and to help students receive much more personalized help that is specifically […]

[The Conversation] BigDataFr recommande : La génomique, reine du big data

BigDataFr recommande : La génomique, reine du big data […] Depuis la fin des années 1990 et le projet génome humain, les technologies de séquençage de l’ADN connaissent une véritable révolution qui fait aujourd’hui entrer la génomique dans l’ère du big data. Depuis une quinzaine d’années, le volume des données générées dans le domaine de […]