000167689 001__ 167689
000167689 005__ 20190316235154.0
000167689 037__ $$aSTUDENT
000167689 245__ $$aComputational Criminology
000167689 269__ $$a2011
000167689 260__ $$c2011
000167689 336__ $$aStudent Projects
000167689 520__ $$aIn this report, we present our work done in spring 2011 on the UK crimes dataset. This dataset was first released in December 2010, and contains reports of crimes committed in England and Wales, with their type and location. We first perform some exploratory analysis on this data, by looking at the correlation of crime rates with some independent variables, such as the population density or the unemployment rate, as well as the relationship between different types of crimes. We also study the spatial autocorrelation of the crime rates. Then, we define a classification problem in which we are interested in identifying probable criminals from mobility traces and aggregated crimes reports. We first introduce a basic algorithm to try and solve this problem, and then reformulate our model to fit a probabilistic group testing setup.
000167689 6531_ $$adata mining
000167689 6531_ $$acriminology
000167689 6531_ $$astatistics
000167689 700__ $$0245633$$aEtter, Vincent$$g161149
000167689 720_2 $$0241029$$aGrossglauser, Matthias$$edir.$$g152655
000167689 720_2 $$0240373$$aThiran, Patrick$$edir.$$g103925
000167689 8564_ $$s2121713$$uhttps://infoscience.epfl.ch/record/167689/files/report.pdf$$yn/a$$zn/a
000167689 909C0 $$0252454$$pLCA3$$xU10431
000167689 909C0 $$0252614$$pLCA$$xUS00024
000167689 909C0 $$0252455$$pLCA4$$xU10836
000167689 909CO $$ooai:infoscience.tind.io:167689$$pIC$$qGLOBAL_SET
000167689 917Z8 $$x161149
000167689 917Z8 $$x139598
000167689 937__ $$aEPFL-STUDENT-167689
000167689 973__ $$aEPFL$$sPUBLISHED
000167689 980__ $$aSTUDENT$$bSEMESTER