{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T00:10:10Z","timestamp":1750205410039,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":22,"publisher":"ACM","license":[{"start":{"date-parts":[[2019,5,13]],"date-time":"2019-05-13T00:00:00Z","timestamp":1557705600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2019,5,13]]},"DOI":"10.1145\/3308560.3316470","type":"proceedings-article","created":{"date-parts":[[2019,5,13]],"date-time":"2019-05-13T12:17:59Z","timestamp":1557749879000},"page":"1279-1285","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Extracting Meaningful Insights on City and Zone Levels Utilizing US Open Government Data"],"prefix":"10.1145","author":[{"given":"Samaa","family":"Gazzaz","sequence":"first","affiliation":[{"name":"King Abdulaziz University"}]},{"given":"Praveen","family":"Rao","sequence":"additional","affiliation":[{"name":"University of Missouri-Kansas"}]}],"member":"320","published-online":{"date-parts":[[2019,5,13]]},"reference":[{"key":"e_1_3_2_1_1_1","volume-title":"Data USA: The Most Comprehensive Visualizations of U.S. Public Data. (April","author":"Perrin Ann","year":"2016","unstructured":"Ann Perrin and C\u00e9sar Hidalgo . 2016 . Data USA: The Most Comprehensive Visualizations of U.S. Public Data. (April 2016). Retrieved April 3, 2017 from https:\/\/www.media.mit.edu\/sponsorship\/getting-value\/collaborations\/datausa Ann Perrin and C\u00e9sar Hidalgo. 2016. Data USA: The Most Comprehensive Visualizations of U.S. Public Data. (April 2016). Retrieved April 3, 2017 from https:\/\/www.media.mit.edu\/sponsorship\/getting-value\/collaborations\/datausa"},{"volume-title":"Open government data: towards empirical analysis of open government data initiatives. OECD Working Papers on Public Governance 22","author":"Ubaldi Barbara","key":"e_1_3_2_1_2_1","unstructured":"Barbara Ubaldi . 2013. Open government data: towards empirical analysis of open government data initiatives. OECD Working Papers on Public Governance 22 . OECD Publishing , Paris, France . Barbara Ubaldi. 2013. Open government data: towards empirical analysis of open government data initiatives. OECD Working Papers on Public Governance 22. OECD Publishing, Paris, France."},{"volume-title":"Data Mining Techniques For Marketing, Sales and Customer Support. (3rd. ed.)","author":"Linoff Gordon","key":"e_1_3_2_1_3_1","unstructured":"Gordon Linoff and Michael Berry . 2011. Data Mining Techniques For Marketing, Sales and Customer Support. (3rd. ed.) . John Wiley & Sons, Inc. , USA. Gordon Linoff and Michael Berry. 2011. Data Mining Techniques For Marketing, Sales and Customer Support. (3rd. ed.). John Wiley & Sons, Inc., USA."},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1080\/03610927408827101"},{"key":"e_1_3_2_1_5_1","unstructured":"Data USA. 2016. Retrieved from https:\/\/datausa.io  Data USA. 2016. Retrieved from https:\/\/datausa.io"},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.giq.2015.09.001"},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.5555\/525883.786176"},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1109\/MIS.2012.27"},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.giq.2015.07.006"},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1145\/2939672.2939702"},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2002.1114856"},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.1145\/2939672.2939710"},{"volume-title":"Proceedings of the 11th Nordic Workshop on Secure IT Systems (NordSec 06)","year":"2006","key":"e_1_3_2_1_13_1","unstructured":"Petrovic, Slobodan. 2006 . A comparison between the silhouette index and the Davies-Bouldin index in labelling ids clusters . Proceedings of the 11th Nordic Workshop on Secure IT Systems (NordSec 06) . Sweden. (Oct 20, 2006). Petrovic, Slobodan. 2006. A comparison between the silhouette index and the Davies-Bouldin index in labelling ids clusters. Proceedings of the 11th Nordic Workshop on Secure IT Systems (NordSec 06). Sweden. (Oct 20, 2006)."},{"volume-title":"The US Hosts 43% of the World's Top 1 Million Websites. (July","year":"2012","key":"e_1_3_2_1_14_1","unstructured":"Pingdom. 2012. The US Hosts 43% of the World's Top 1 Million Websites. (July 2012 ). Retrieved April 2, 2017 from http:\/\/royal.pingdom.com\/2012\/07\/02\/united-stateshosts-43-percent-worlds-top-1-million-websites\/ Pingdom. 2012. The US Hosts 43% of the World's Top 1 Million Websites. (July 2012). Retrieved April 2, 2017 from http:\/\/royal.pingdom.com\/2012\/07\/02\/united-stateshosts-43-percent-worlds-top-1-million-websites\/"},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.1016\/0377-0427(87)90125-7"},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.giq.2016.01.003"},{"key":"e_1_3_2_1_17_1","volume-title":"Pattern Recognition","author":"Theodoridis Sergios","unstructured":"Sergios Theodoridis and Konstantinos Koutroumbas . 2008. Pattern Recognition ( 4 th ed.). Academic Press . Sergios Theodoridis and Konstantinos Koutroumbas. 2008. Pattern Recognition (4th ed.). Academic Press.","edition":"4"},{"key":"e_1_3_2_1_18_1","volume-title":"Retrieved","author":"Thirumuruganathan Saravanan","year":"2017","unstructured":"Saravanan Thirumuruganathan . A Detailed Introduction to K-Nearest Neighbor (KNN) Algorithm. (May 2010) . Retrieved July 19, 2017 from https:\/\/saravananthirumuruganathan.wordpress.com\/2010\/05\/17\/a-detailed-introductionto-k-nearest-neighbor-knn-algorithm\/ Saravanan Thirumuruganathan. A Detailed Introduction to K-Nearest Neighbor (KNN) Algorithm. (May 2010). Retrieved July 19, 2017 from https:\/\/saravananthirumuruganathan.wordpress.com\/2010\/05\/17\/a-detailed-introductionto-k-nearest-neighbor-knn-algorithm\/"},{"key":"e_1_3_2_1_19_1","doi-asserted-by":"publisher","DOI":"10.1111\/1467-9868.00293"},{"key":"e_1_3_2_1_20_1","volume-title":"Open Data Barometer - 2013 Global Report. (October 31","author":"Davies Tim","year":"2013","unstructured":"Tim Davies . 2013. Open Data Barometer - 2013 Global Report. (October 31 , 2013 ), 24-35. Open Data Institute , World Wide Web Foundation. Retrieved April 3, 2017 from http:\/\/www.cocoaconnect.org\/sites\/default\/files\/publication\/Open-Data-Barometer-2013Global-Report.pdf Tim Davies. 2013. Open Data Barometer - 2013 Global Report. (October 31, 2013), 24-35. Open Data Institute, World Wide Web Foundation. Retrieved April 3, 2017 from http:\/\/www.cocoaconnect.org\/sites\/default\/files\/publication\/Open-Data-Barometer-2013Global-Report.pdf"},{"key":"e_1_3_2_1_21_1","doi-asserted-by":"crossref","unstructured":"Woody Turner Carlo Rondinini Nathalie Pettorelli Brice Mora Allison Leidner Zoltan Szantoi Graeme Buchanan Stefan Dech John Dwyer Martin Herold Lian Koh Peter Leimgruber Hannes Taubenboeck Martin Wegmann Martin Wikelski and Curtis Woodcock. 2015. Free and open-Access satellite data are key to biodiversity conservation. Biological Conservation 182 (February 2015) 173\u2013176.  Woody Turner Carlo Rondinini Nathalie Pettorelli Brice Mora Allison Leidner Zoltan Szantoi Graeme Buchanan Stefan Dech John Dwyer Martin Herold Lian Koh Peter Leimgruber Hannes Taubenboeck Martin Wegmann Martin Wikelski and Curtis Woodcock. 2015. Free and open-Access satellite data are key to biodiversity conservation. Biological Conservation 182 (February 2015) 173\u2013176.","DOI":"10.1016\/j.biocon.2014.11.048"},{"key":"e_1_3_2_1_22_1","doi-asserted-by":"publisher","DOI":"10.1145\/1291233.1291297"}],"event":{"name":"WWW '19: The Web Conference","sponsor":["IW3C2 International World Wide Web Conference Committee"],"location":"San Francisco USA","acronym":"WWW '19"},"container-title":["Companion Proceedings of The 2019 World Wide Web Conference"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3308560.3316470","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3308560.3316470","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T23:53:23Z","timestamp":1750204403000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3308560.3316470"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,5,13]]},"references-count":22,"alternative-id":["10.1145\/3308560.3316470","10.1145\/3308560"],"URL":"https:\/\/doi.org\/10.1145\/3308560.3316470","relation":{},"subject":[],"published":{"date-parts":[[2019,5,13]]},"assertion":[{"value":"2019-05-13","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}