<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Alessandro Lulli</style></author><author><style face="normal" font="default" size="100%">Lorenzo Gabrielli</style></author><author><style face="normal" font="default" size="100%">Patrizio Dazzi</style></author><author><style face="normal" font="default" size="100%">Matteo Dell'Amico</style></author><author><style face="normal" font="default" size="100%">Pietro Michiardi</style></author><author><style face="normal" font="default" size="100%">Mirco Nanni</style></author><author><style face="normal" font="default" size="100%">Laura Ricci</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Scalable and flexible clustering solutions for mobile phone-based population indicators</style></title><secondary-title><style face="normal" font="default" size="100%">I. J. Data Science and Analytics</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2017</style></year></dates><urls><web-urls><url><style face="normal" font="default" size="100%">https://doi.org/10.1007/s41060-017-0065-y</style></url></web-urls></urls><number><style face="normal" font="default" size="100%">4</style></number><volume><style face="normal" font="default" size="100%">4</style></volume><pages><style face="normal" font="default" size="100%">285–299</style></pages><language><style face="normal" font="default" size="100%">eng</style></language></record></records></xml>