LEADER 01352nam 2200349 450 001 9910376355203321 005 20230906212859.0 010 $a1-4503-4309-0 035 $a(CKB)3710000000755064 035 $a(Non_Seri)133738 035 $a(NjHacI)993710000000755064 035 $a(EXLCZ)993710000000755064 100 $a20230824d2016 uy 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aThird International ACM Workshop on Managing and Mining Enriched Geo-Spatial Data $ein conjunction with SIGMOD 2016, June 26th 2016 / /$fAssociation for Computing Machinery 210 1$aNew York, New York :$cThe Association for Computing Machinery,$d2016. 215 $a1 online resource (53 pages) 330 $aAnnotation SIGMOD/PODS'16: International Conference on Management of Data Jun 26, 2016-Jul 01, 2016 San Francisco, USA. You can view more information about this proceeding and all of ACM#65533;s other published conference proceedings from the ACM Digital Library: http://www.acm.org/dl. 606 $aData mining 606 $aComputer files 615 0$aData mining. 615 0$aComputer files. 676 $a006.312 801 0$bNjHacI 801 1$bNjHacl 906 $aBOOK 912 $a9910376355203321 997 $aUNINA