A. Philipp, Balancing Bike Sharing Systems through Customer Cooperation?A Case Study on London's Barclays Cycle Hire, IEEE Conference on Decision and Control, 2015.

B. Roel, V. Jilles, and S. Arno, Beauty and Brains : Detecting Anomalous Pattern Co-Occurrences, 2015.

. Bikesharingnapoli, Bike share boom : 7 cities doing it right. http : / / www . bikesharingnapoli . it / it / best practices/ . En ligne, 2013.

G. Martins, D. Boris, B. Simon, and O. , « Predicting occupancy trends in Barcelona's bicycle service stations using open data, SAI Intelligent Systems Conference (IntelliSys), pp.439-445, 2015.

F. Hadi and G. Joao, « Event labeling combining ensemble detectors and background knowledge, Progress in Artificial Intelligence, pp.2-3, 2014.

G. Nicolas, Probabilistic Forecasts of Bike- Sharing Systems for Journey Planning, The 24th ACM International Conference on Information and Knowledge Management, 2015.

K. Mor, R. Tal, and T. Michal, « Detection of unusable bicycles in bike-sharing systems, p.Omega, 2015.

L. Pirmin, Big Data et Machine Learning ? Manuel du data scientist, 2015.

J. Macqueen, « Some methods for classification and analysis of multivariate observations, Proceedings of the Fifth Berkeley Symposium on Mathematical Statistics and Probability, pp.281-297, 1967.

Q. Bikepredict, En ligne, 2015.

R. Tal, T. Michal, A. Iris, and . Forma, « Static repositioning in a bike-sharing system : models and solution approaches, In : EURO Journal on Transportation and Logistics, vol.2, issue.3, pp.187-229, 2013.

R. Cherrier and R. Giot, « Predicting Bikeshare System Usage Up to One Day Ahead, IEEE Symposium Series in Computational Intelligence 2014 (SSCI 2014). Workshop on Computational Intelligence in Vehicles and Transportation Systems, pp.2014-2015, 2014.

W. Tom and . Hadoop, The definitive guide, p.2012

Z. Matei, Cluster Computing with Working Sets, pp.10-10, 2010.