NCFPAL 2014 - Preface

• Cet algorithme hiérarchique est bien adapté pour fournir une segmentation multi-échelle puisqu’il donne en ensemble de partitions possibles en C classes pour 1 variant de 1 à N,

This workshop brings together researchers from academia and industry practitioners with special interest in statistics/machine learning, information retrieval, data

The main objective of this present research is to build a predictive model for supporting educators in the hard task of identifying prospective students with dropout profiles in

In (Dawson, S., Haythornthwaite, C. Eds.): Proceedings of the 2nd International Conference on Learning Analytics and Knowledge., ACM, S.. Donaldson: “Predicting Academic

The second is that of a developer of declarative languages and solvers for machine learning and data mining, where I shall provide a gentle introduction to different types of

Inductive Logic Programming (ILP) [35] is considered as the major logic-based (thus, model-based) approach to learning and mining rules from structured data.. Originally focused on

Those are some of the questions we investigate using a quantitative analysis led between 2007 and 2017 through: a social network anal- ysis of the 3 communities, involving the

Founded by a partnership between the Open University in the UK, the BBC, The British Library and (originally) 12 universities in the UK, FutureLearn has two distinc- tive