{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,9,26]],"date-time":"2025-09-26T13:14:55Z","timestamp":1758892495295,"version":"3.37.3"},"reference-count":44,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2019,1,1]],"date-time":"2019-01-01T00:00:00Z","timestamp":1546300800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"funder":[{"name":"TCS Ph.D. Fellowship"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2019]]},"DOI":"10.1109\/access.2019.2923965","type":"journal-article","created":{"date-parts":[[2019,6,19]],"date-time":"2019-06-19T16:01:32Z","timestamp":1560960092000},"page":"100512-100534","source":"Crossref","is-referenced-by-count":7,"title":["An Evolutionary GA-Based Approach for Community Detection in IoT"],"prefix":"10.1109","volume":"7","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-3193-8160","authenticated-orcid":false,"given":"Sanket","family":"Mishra","sequence":"first","affiliation":[]},{"given":"Chinmay","family":"Hota","sequence":"additional","affiliation":[]},{"given":"Lov","family":"Kumar","sequence":"additional","affiliation":[]},{"given":"Abhaya","family":"Nayak","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1016\/j.applthermaleng.2016.01.015"},{"key":"ref38","first-page":"171","article-title":"Critical values and probability levels for the wilcoxon rank sum test and the wilcoxon signed rank test","volume":"1","author":"wilcoxon","year":"1970","journal-title":"Selected Tables in Mathematical Statistics"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2017.2722378"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1016\/S0925-7535(01)00032-7"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1145\/3208903.3208920"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1016\/j.procs.2018.08.085"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1016\/j.jcss.2014.02.008"},{"journal-title":"Data Mining Concepts and Techniques","year":"2011","author":"han","key":"ref36"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1016\/j.procs.2017.10.068"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1016\/j.trc.2014.11.003"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2016.2643005"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1016\/j.scs.2017.08.018"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1016\/j.trpro.2016.06.043"},{"journal-title":"Clustering with Genetic Algorithms","year":"1998","author":"cole","key":"ref12"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.1979.4766909"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1061\/(ASCE)0733-947X(1991)117:2(178)"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1016\/j.aap.2012.10.016"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/MVT.2009.935537"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1145\/1162678.1162679"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TCE.2010.5606276"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1007\/s00521-014-1646-5"},{"key":"ref28","first-page":"13","article-title":"Traffic anomaly detection using k-means clustering","author":"m\u00fcnz","year":"2007","journal-title":"Proc GI\/ITG Workshop MMBnet"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/SERVICES.2018.00024"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1016\/j.scient.2011.07.004"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/j.apenergy.2016.06.046"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2014.139"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2016.2618909"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/j.enbuild.2017.01.083"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.14569\/IJACSA.2017.080337"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1007\/s00500-018-3086-0"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/0098-3004(84)90020-7"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/SERA.2017.7965753"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2017.2712672"},{"key":"ref20","first-page":"45","article-title":"Min max normalization based data perturbation method for privacy protection","volume":"2","author":"jain","year":"2011","journal-title":"Int J of Computer and Communication Technology"},{"key":"ref22","first-page":"887","article-title":"An efficient genetic algorithm with less fitness evaluation by clustering","volume":"2","author":"kim","year":"2001","journal-title":"Proc Congr Evol Comput"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/ITSC.2005.1520184"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1007\/s10586-017-1334-1"},{"key":"ref24","first-page":"596","article-title":"A kernel fuzzy clustering algorithm with generalized entropy based on weighted sample","volume":"4","author":"li","year":"2014","journal-title":"Int J Adv Comput Res"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2019.2901370"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1007\/s11235-017-0348-6"},{"key":"ref44","doi-asserted-by":"crossref","first-page":"961","DOI":"10.3233\/IFS-141378","article-title":"Image segmentation by generalized hierarchical fuzzy C-means algorithm","volume":"28","author":"zheng","year":"2015","journal-title":"J Intell Fuzzy Syst"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1016\/S0031-3203(99)00137-5"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.3390\/ijgi5050071"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/TIT.1982.1056489"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/8600701\/08741012.pdf?arnumber=8741012","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,1,12]],"date-time":"2022-01-12T11:33:00Z","timestamp":1641987180000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8741012\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019]]},"references-count":44,"URL":"https:\/\/doi.org\/10.1109\/access.2019.2923965","relation":{},"ISSN":["2169-3536"],"issn-type":[{"type":"electronic","value":"2169-3536"}],"subject":[],"published":{"date-parts":[[2019]]}}}