Survey of Multiobjective Evolutionary Algorithms for Data Mining: Part II
This paper is the second part of a two-part paper, which is a survey of multiobjective evolutionary algorithms for data mining problems. In Part I , multiobjective evolutionary algorithms used for feature selection and classification have been reviewed. In this part, different multiobjective evoluti...
Saved in:
| Published in: | IEEE transactions on evolutionary computation Vol. 18; no. 1; pp. 20 - 35 |
|---|---|
| Main Authors: | , , , |
| Format: | Journal Article |
| Language: | English |
| Published: |
New York
IEEE
01.02.2014
The Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subjects: | |
| ISSN: | 1089-778X, 1941-0026 |
| Online Access: | Get full text |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Abstract | This paper is the second part of a two-part paper, which is a survey of multiobjective evolutionary algorithms for data mining problems. In Part I , multiobjective evolutionary algorithms used for feature selection and classification have been reviewed. In this part, different multiobjective evolutionary algorithms used for clustering, association rule mining, and other data mining tasks are surveyed. Moreover, a general discussion is provided along with scopes for future research in the domain of multiobjective evolutionary algorithms for data mining. |
|---|---|
| AbstractList | This paper is the second part of a two-part paper, which is a survey of multiobjective evolutionary algorithms for data mining problems. In Part I , multiobjective evolutionary algorithms used for feature selection and classification have been reviewed. In this part, different multiobjective evolutionary algorithms used for clustering, association rule mining, and other data mining tasks are surveyed. Moreover, a general discussion is provided along with scopes for future research in the domain of multiobjective evolutionary algorithms for data mining. This paper is the second part of a two-part paper, which is a survey of multiobjective evolutionary algorithms for data mining problems. In Part I [Ref 1] , multiobjective evolutionary algorithms used for feature selection and classification have been reviewed. In this part, different multiobjective evolutionary algorithms used for clustering, association rule mining, and other data mining tasks are surveyed. Moreover, a general discussion is provided along with scopes for future research in the domain of multiobjective evolutionary algorithms for data mining. |
| Author | Maulik, Ujjwal Mukhopadhyay, Anirban Bandyopadhyay, Sanghamitra Coello, Carlos A. Coello |
| Author_xml | – sequence: 1 givenname: Anirban surname: Mukhopadhyay fullname: Mukhopadhyay, Anirban email: anirban@klyuniv.ac.in organization: Dept. of Comput. Sci. & Eng., Univ. of Kalyani, Kalyani, India – sequence: 2 givenname: Ujjwal surname: Maulik fullname: Maulik, Ujjwal email: umaulik@cse.jdvu.ac.in organization: Dept. of Comput. Sci. & Eng., Jadavpur Univ., Kolkata, India – sequence: 3 givenname: Sanghamitra surname: Bandyopadhyay fullname: Bandyopadhyay, Sanghamitra email: sanghami@isical.ac.in organization: Machine Intell. Unit, Indian Stat. Inst., Kolkata, India – sequence: 4 givenname: Carlos A. Coello surname: Coello fullname: Coello, Carlos A. Coello email: ccoello@cs.cinvestav.mx organization: Dept. de Comput. (Evolutionary Comput. Group), CINVESTAV-IPN, Mexico City, Mexico |
| BookMark | eNp9kMFOGzEQhq0KpELgASoulrhw2XTstb02NxRCGwkEErTqbeU4Y3C0WYPtjcTbd6OgHjj0NKPR949mvmNy0MceCfnGYMoYmO9P89-zKQdWTzk3AJp_IUfMCFYBcHUw9qBN1TT6z1dynPMagAnJzBFZPA5pi-80eno3dCXE5RpdCVuk823shnHQ2_ROr7rnmEJ52WTqY6LXtlh6F_rQP1_SB5sKXSxOyKG3XcbTjzohv27mT7Of1e39j8Xs6rZyteGlYkyv2EobDbJ2Xhk0Eq0A3tQrJlfLGrzz2vClkLVRQntjvXEG0aLQQjmoJ-Riv_c1xbcBc2k3ITvsOttjHHLLJAcjpFTNiJ5_QtdxSP143UiBUExrxUeq2VMuxZwT-taFYnefl2RD1zJod4rbneJ2p7j9UDwm2afkawqb0dd_M2f7TEDEf7xSUmsB9V9wkIe9 |
| CODEN | ITEVF5 |
| CitedBy_id | crossref_primary_10_3390_s24010167 crossref_primary_10_1016_j_eswa_2017_12_013 crossref_primary_10_1080_0305215X_2015_1078139 crossref_primary_10_1016_j_ins_2015_01_018 crossref_primary_10_1089_cmb_2018_0080 crossref_primary_10_1016_j_cosrev_2018_12_001 crossref_primary_10_1109_TEVC_2015_2476359 crossref_primary_10_1002_widm_1522 crossref_primary_10_1016_j_patcog_2017_07_021 crossref_primary_10_1145_3467477 crossref_primary_10_1007_s42452_019_1179_8 crossref_primary_10_1016_j_procs_2017_12_100 crossref_primary_10_1016_j_ins_2018_05_031 crossref_primary_10_1038_s41598_025_16319_4 crossref_primary_10_1016_j_neucom_2016_12_045 crossref_primary_10_1016_j_swevo_2019_05_005 crossref_primary_10_1007_s00366_018_0667_6 crossref_primary_10_1007_s10586_017_0980_7 crossref_primary_10_1016_j_ins_2015_10_010 crossref_primary_10_1016_j_ins_2020_02_073 crossref_primary_10_1016_j_swevo_2017_05_003 crossref_primary_10_1109_TCSS_2022_3188295 crossref_primary_10_1109_TEVC_2015_2433672 crossref_primary_10_1155_2022_3818107 crossref_primary_10_1137_19M1271439 crossref_primary_10_3233_JIFS_169711 crossref_primary_10_1007_s10489_018_1190_6 crossref_primary_10_1016_j_knosys_2016_04_018 crossref_primary_10_3233_JIFS_181364 crossref_primary_10_1109_TGRS_2015_2393357 crossref_primary_10_1016_j_ins_2017_06_031 crossref_primary_10_1016_j_swevo_2022_101070 crossref_primary_10_1016_j_ijnonlinmec_2025_105218 crossref_primary_10_1016_j_patcog_2016_05_004 crossref_primary_10_12677_AIRR_2016_51001 crossref_primary_10_1007_s00500_016_2422_5 crossref_primary_10_1007_s00500_018_3479_0 crossref_primary_10_1016_j_eswa_2019_113163 crossref_primary_10_1016_j_ins_2021_03_057 crossref_primary_10_1007_s10288_019_00402_4 crossref_primary_10_1016_j_asoc_2019_02_043 crossref_primary_10_1016_j_eswa_2019_06_056 crossref_primary_10_1016_j_compbiomed_2022_105536 crossref_primary_10_1016_j_dajour_2025_100550 crossref_primary_10_1002_widm_1239 crossref_primary_10_1007_s11431_020_1587_y crossref_primary_10_1016_j_patcog_2016_08_033 crossref_primary_10_1109_TEVC_2015_2501315 crossref_primary_10_1016_j_asoc_2018_07_045 crossref_primary_10_1016_j_matpr_2020_12_477 crossref_primary_10_1007_s00500_018_3124_y crossref_primary_10_1016_j_ins_2024_120459 crossref_primary_10_1088_1742_6596_1345_5_052055 crossref_primary_10_3390_electronics13101987 crossref_primary_10_1109_TEVC_2023_3281810 crossref_primary_10_1186_s41044_016_0003_3 crossref_primary_10_1007_s13369_017_2761_2 crossref_primary_10_3390_app11219868 crossref_primary_10_1007_s40747_020_00215_7 crossref_primary_10_1145_2742642 crossref_primary_10_1007_s11831_022_09778_9 crossref_primary_10_1109_TEVC_2023_3314105 crossref_primary_10_1016_j_neucom_2018_06_087 crossref_primary_10_1016_j_swevo_2021_100842 crossref_primary_10_1016_j_procs_2015_07_387 crossref_primary_10_1007_s10479_021_04496_0 crossref_primary_10_1016_j_neucom_2019_01_017 crossref_primary_10_1016_j_ins_2018_06_019 crossref_primary_10_1016_j_neucom_2025_130631 crossref_primary_10_1145_2792984 crossref_primary_10_1016_j_swevo_2019_100626 crossref_primary_10_1007_s11277_016_3350_5 crossref_primary_10_1016_j_eswa_2019_01_035 crossref_primary_10_3390_e20090684 crossref_primary_10_1007_s11047_016_9542_9 crossref_primary_10_1080_10426914_2023_2238056 crossref_primary_10_1007_s00500_018_3034_z crossref_primary_10_1016_j_knosys_2022_110004 crossref_primary_10_1080_0305215X_2016_1187729 crossref_primary_10_1007_s11760_016_1049_4 crossref_primary_10_1007_s13748_019_00185_z crossref_primary_10_1016_j_asoc_2017_11_045 crossref_primary_10_1016_j_swevo_2021_100939 crossref_primary_10_1016_j_asoc_2017_11_041 crossref_primary_10_1007_s42979_022_01533_y crossref_primary_10_1007_s00500_017_2590_y crossref_primary_10_1016_j_patcog_2020_107318 crossref_primary_10_1016_j_neucom_2016_01_102 crossref_primary_10_1016_j_fss_2021_07_009 crossref_primary_10_1016_j_neucom_2019_11_097 crossref_primary_10_1016_j_knosys_2016_02_012 crossref_primary_10_1016_j_swevo_2024_101720 crossref_primary_10_1109_TEVC_2013_2290086 crossref_primary_10_1108_AAOUJ_01_2017_0012 crossref_primary_10_1109_ACCESS_2024_3521383 crossref_primary_10_1016_j_asoc_2018_03_005 |
| Cites_doi | 10.1109/ICDE.2008.4497638 10.1093/bioinformatics/btm418 10.1007/978-3-642-21222-2_33 10.1109/CEC.2009.4982956 10.2174/157489310792006701 10.1016/j.patcog.2013.02.005 10.1109/IJCNN.2006.1716594 10.1093/bioinformatics/bti517 10.1109/ASONAM.2010.23 10.1109/CEC.2010.5586207 10.1109/TPAMI.2002.1114856 10.1039/c2mb25302j 10.1109/TGRS.2008.2008182 10.1007/s10489-009-0206-7 10.1007/978-3-540-30198-1_46 10.1109/CEC.2009.4983250 10.1109/CEC.2009.4983096 10.1016/j.asoc.2007.05.003 10.1109/TSE.2010.26 10.1002/widm.18 10.1145/331499.331504 10.1109/TEVC.2006.877146 10.1145/775047.775053 10.1007/s10852-005-9020-3 10.1016/j.asoc.2010.01.007 10.1109/ICIT.2007.13 10.1007/978-3-642-16615-0 10.1371/journal.pone.0013803 10.1016/j.ins.2003.03.021 10.1109/TFUZZ.2009.2038712 10.1007/978-1-4757-0450-1 10.1007/11790853_27 10.1109/TGRS.2007.892604 10.4236/ijis.2012.224016 10.1145/1276958.1277346 10.1016/S0031-3203(99)00137-5 10.1109/ICAPR.2009.51 10.1016/j.eswa.2010.06.060 10.1109/TCBB.2007.070203 10.1007/s00500-009-0428-y 10.1016/j.ejor.2006.10.059 10.1109/EMPDP.2002.994315 10.1109/CEC.2007.4424620 10.1109/CEC.2008.4630996 10.1109/CEC.2011.5949941 10.1109/MCDM.2007.369416 10.1007/s10844-007-0044-1 10.1109/TEVC.2009.2012163 10.1109/CEC.2005.1554990 10.1111/1467-9868.00293 10.1007/s10489-008-0129-8 10.1109/ICDAR.2003.1227748 10.1109/TEVC.2013.2290086 10.1145/1830483.1830699 10.1007/s00500-008-0362-4 10.1109/CEC.2005.1554742 10.1023/A:1012801612483 10.1109/34.85677 10.1016/j.patcog.2006.03.003 10.1145/170035.170072 10.1109/TPAMI.1979.4766909 10.1162/evco.2009.17.4.17403 10.1051/ro:2008004 10.1109/4235.996017 10.1109/TBME.2012.2220765 10.1109/CEC.2001.934295 10.1109/TITB.2009.2017527 10.1109/3477.809027 10.1007/11844297_46 10.1007/978-3-642-32964-7_4 10.1186/1471-2105-10-27 10.1016/0377-0427(87)90125-7 10.1007/3-540-45372-5_26 10.1080/01969727408546059 10.1007/BF03263533 10.1109/TEVC.2012.2185847 10.1109/CEC.2003.1299928 |
| ContentType | Journal Article |
| Copyright | Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) Feb 2014 |
| Copyright_xml | – notice: Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) Feb 2014 |
| DBID | 97E RIA RIE AAYXX CITATION 7SC 7SP 8FD JQ2 L7M L~C L~D F28 FR3 |
| DOI | 10.1109/TEVC.2013.2290082 |
| DatabaseName | IEEE Xplore (IEEE) IEEE All-Society Periodicals Package (ASPP) 1998–Present IEEE Electronic Library (IEL) CrossRef Computer and Information Systems Abstracts Electronics & Communications Abstracts Technology Research Database ProQuest Computer Science Collection Advanced Technologies Database with Aerospace Computer and Information Systems Abstracts Academic Computer and Information Systems Abstracts Professional ANTE: Abstracts in New Technology & Engineering Engineering Research Database |
| DatabaseTitle | CrossRef Technology Research Database Computer and Information Systems Abstracts – Academic Electronics & Communications Abstracts ProQuest Computer Science Collection Computer and Information Systems Abstracts Advanced Technologies Database with Aerospace Computer and Information Systems Abstracts Professional Engineering Research Database ANTE: Abstracts in New Technology & Engineering |
| DatabaseTitleList | Technology Research Database Technology Research Database |
| Database_xml | – sequence: 1 dbid: RIE name: IEEE Xplore url: https://ieeexplore.ieee.org/ sourceTypes: Publisher |
| DeliveryMethod | fulltext_linktorsrc |
| Discipline | Engineering Computer Science |
| EISSN | 1941-0026 |
| EndPage | 35 |
| ExternalDocumentID | 3238339391 10_1109_TEVC_2013_2290082 6658840 |
| Genre | orig-research |
| GrantInformation_xml | – fundername: Indo-Mexico grantid: DST/INT/MEX/RPO-04/2008 – fundername: Department of Science and Technology, India |
| GroupedDBID | -~X .DC 0R~ 29I 4.4 5GY 5VS 6IF 6IK 6IL 6IN 97E AAJGR AARMG AASAJ AAWTH ABAZT ABJNI ABQJQ ABVLG ACGFO ACGFS ACIWK ADZIZ AENEX AETIX AGQYO AGSQL AHBIQ AI. AIBXA AKJIK AKQYR ALLEH ALMA_UNASSIGNED_HOLDINGS ATWAV BEFXN BFFAM BGNUA BKEBE BPEOZ CHZPO CS3 EBS EJD HZ~ H~9 IEGSK IFIPE IFJZH IPLJI JAVBF LAI M43 O9- OCL P2P PQQKQ RIA RIE RIL RNS TN5 VH1 AAYXX CITATION 7SC 7SP 8FD JQ2 L7M L~C L~D RIG F28 FR3 |
| ID | FETCH-LOGICAL-c392t-118d1d898053cf69e95ea40273d15db30fcf892b4539648f9af9c9eeae4846c03 |
| IEDL.DBID | RIE |
| ISICitedReferencesCount | 155 |
| ISICitedReferencesURI | http://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=Summon&SrcAuth=ProQuest&DestLinkType=CitingArticles&DestApp=WOS_CPL&KeyUT=000330890700003&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D |
| ISSN | 1089-778X |
| IngestDate | Sat Sep 27 16:58:25 EDT 2025 Mon Jun 30 03:38:55 EDT 2025 Sat Nov 29 03:13:46 EST 2025 Tue Nov 18 21:18:38 EST 2025 Tue Aug 26 16:49:28 EDT 2025 |
| IsPeerReviewed | true |
| IsScholarly | true |
| Issue | 1 |
| Language | English |
| License | https://ieeexplore.ieee.org/Xplorehelp/downloads/license-information/IEEE.html |
| LinkModel | DirectLink |
| MergedId | FETCHMERGED-LOGICAL-c392t-118d1d898053cf69e95ea40273d15db30fcf892b4539648f9af9c9eeae4846c03 |
| Notes | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 ObjectType-Article-2 ObjectType-Feature-1 content type line 23 |
| PQID | 1504618862 |
| PQPubID | 85418 |
| PageCount | 16 |
| ParticipantIDs | crossref_citationtrail_10_1109_TEVC_2013_2290082 ieee_primary_6658840 crossref_primary_10_1109_TEVC_2013_2290082 proquest_miscellaneous_1520945567 proquest_journals_1504618862 |
| PublicationCentury | 2000 |
| PublicationDate | 2014-02-01 |
| PublicationDateYYYYMMDD | 2014-02-01 |
| PublicationDate_xml | – month: 02 year: 2014 text: 2014-02-01 day: 01 |
| PublicationDecade | 2010 |
| PublicationPlace | New York |
| PublicationPlace_xml | – name: New York |
| PublicationTitle | IEEE transactions on evolutionary computation |
| PublicationTitleAbbrev | TEVC |
| PublicationYear | 2014 |
| Publisher | IEEE The Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher_xml | – name: IEEE – name: The Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| References | handl (ref8) 2004 cheng (ref98) 2000 ref56 ref59 ref58 ref53 ref52 hu (ref70) 2007 ref54 mukhopadhyay (ref30) 2006; 3 ignatov (ref96) 2012; abs 1202 2892 larranaga (ref104) 2001 ref51 ref50 deb (ref2) 2001 ref46 ref45 ref48 radtke (ref106) 2005 horn (ref28) 1993 ref42 ref41 ref44 berlanga (ref107) 2006; 4065 ref43 martin (ref75) 2011 ref49 kaya (ref78) 2004 handl (ref35) 2005 ref9 ref4 ref3 fei (ref103) 2008 ref6 strehl (ref61) 2002; 3 ref5 ref100 ref101 ref40 ref34 kaya (ref77) 2003 ref37 ref36 ref31 ref33 mukhopadhyay (ref47) 2011; 11 ref32 handl (ref57) 2006; 16 del jesus (ref108) 2007 ref23 ref26 ref25 ref22 halkidi (ref55) 2000 ref21 won (ref17) 2008 ref12 ref15 matake (ref60) 0; 1 ref99 ref10 zitzler (ref27) 2001 ref16 oliveira (ref92) 2005; 3410 ref19 ref18 qian (ref11) 2008 chen (ref80) 2008 mishra (ref115) 2011 ref94 ref91 ref90 zyer (ref38) 2004 ref89 franca (ref97) 2007 ref86 ref85 ref88 ref87 chen (ref13) 2005 de castro (ref95) 2007 ref82 ref83 anand (ref73) 2009 ref79 ref74 ref105 ref76 ref1 zhu (ref113) 2012 pach n (ref109) 2011 corne (ref7) 2001 ref71 ref111 ref112 ref72 ref110 ripon (ref14) 2006 du (ref39) 2005 ref68 matthews (ref81) 2011 ref67 ref117 ref69 ref64 ref63 ref116 ref66 ref65 ref114 liu (ref29) 2005; 29 kirkland (ref24) 2011; 6936 jin (ref84) 2004 divina (ref102) 2007 ref62 ripon (ref20) 2009 zhang (ref93) 2008; 9 |
| References_xml | – ident: ref112 doi: 10.1109/ICDE.2008.4497638 – ident: ref31 doi: 10.1093/bioinformatics/btm418 – start-page: 385 year: 2009 ident: ref73 article-title: Association rule mining using multiobjective evolutionary algorithms: Strengths and challenges publication-title: Proc NaBIC – start-page: 271 year: 2011 ident: ref109 article-title: A multiobjective evolutionary approach for subgroup discovery publication-title: Proc 6th Int Conf Hybrid Artif Intell Syst ?Vol Part II doi: 10.1007/978-3-642-21222-2_33 – start-page: 1 year: 2004 ident: ref84 article-title: Neural network regularization and ensembling using multiobjective evolutionary algorithms publication-title: Proc IEEE CEC – ident: ref42 doi: 10.1109/CEC.2009.4982956 – ident: ref94 doi: 10.2174/157489310792006701 – ident: ref114 doi: 10.1016/j.patcog.2013.02.005 – ident: ref41 doi: 10.1109/IJCNN.2006.1716594 – volume: 29 start-page: 33 year: 2005 ident: ref29 article-title: Integrating multiobjective genetic algorithm and validity analysis for locating and ranking alternative clustering publication-title: Informatica – ident: ref62 doi: 10.1093/bioinformatics/bti517 – ident: ref22 doi: 10.1109/ASONAM.2010.23 – ident: ref64 doi: 10.1109/CEC.2010.5586207 – ident: ref34 doi: 10.1109/TPAMI.2002.1114856 – volume: 3 start-page: 583 year: 2002 ident: ref61 article-title: Cluster ensembles?A knowledge reuse framework for combining multiple partitions publication-title: Mach Learn Res – ident: ref66 doi: 10.1039/c2mb25302j – ident: ref18 doi: 10.1109/TGRS.2008.2008182 – ident: ref49 doi: 10.1007/s10489-009-0206-7 – ident: ref63 doi: 10.1007/978-3-540-30198-1_46 – ident: ref26 doi: 10.1109/CEC.2009.4983250 – start-page: 1397 year: 2011 ident: ref75 article-title: A multiobjective evolutionary algorithm for mining quantitative association rules publication-title: Proc Int Conf ISDA – start-page: 547 year: 2005 ident: ref35 article-title: Exploiting the trade-off?The benefits of multiple objectives in data clustering publication-title: Proc 3rd Int Conf EMO – ident: ref54 doi: 10.1109/CEC.2009.4983096 – ident: ref74 doi: 10.1016/j.asoc.2007.05.003 – ident: ref53 doi: 10.1109/TSE.2010.26 – ident: ref67 doi: 10.1002/widm.18 – year: 2001 ident: ref2 publication-title: Multi-Objective Optimization Using Evolutionary Algorithms – volume: abs 1202 2892 year: 2012 ident: ref96 article-title: Recommender system based on algorithm of bicluster analysis RecBi publication-title: CoRR – ident: ref3 doi: 10.1145/331499.331504 – ident: ref10 doi: 10.1109/TEVC.2006.877146 – ident: ref68 doi: 10.1145/775047.775053 – start-page: 421 year: 2007 ident: ref97 article-title: Applying biclustering to perform collaborative filtering publication-title: Proc 6th Int Conf ISDA – ident: ref86 doi: 10.1007/s10852-005-9020-3 – ident: ref23 doi: 10.1016/j.asoc.2010.01.007 – ident: ref43 doi: 10.1109/ICIT.2007.13 – volume: 11 start-page: 19 year: 2011 ident: ref47 article-title: Gene expression data analysis using multiobjective clustering improved with SVM based ensemble publication-title: In Silico Biology – start-page: 346 year: 2005 ident: ref39 article-title: Alternative clustering by utilizing multiobjective genetic algorithm with linked-list based chromosome encoding publication-title: Proc MLDM – start-page: 385 year: 2007 ident: ref102 article-title: A multiobjective approach to discover biclusters in microarray data publication-title: Proc 9th Annu Conf GECCO – ident: ref5 doi: 10.1007/978-3-642-16615-0 – start-page: 409 year: 2011 ident: ref115 article-title: Parallel multiobjective genetic algorithms for associative classification rule mining publication-title: Proc ICCCS – ident: ref65 doi: 10.1371/journal.pone.0013803 – start-page: 3561 year: 2008 ident: ref11 article-title: Unsupervised texture image segmentation using multiobjective evolutionary clustering ensemble algorithm publication-title: Proc IEEE CEC – ident: ref69 doi: 10.1016/j.ins.2003.03.021 – ident: ref111 doi: 10.1109/TFUZZ.2009.2038712 – start-page: 198 year: 2011 ident: ref81 article-title: Evolving temporal fuzzy association rules from quantitative data with a multiobjective evolutionary algorithm publication-title: Proc Int Conf HAIS?Vol Part I – ident: ref36 doi: 10.1007/978-1-4757-0450-1 – volume: 4065 start-page: 337 year: 2006 ident: ref107 publication-title: Advances in Data Mining. Applications in Medicine, Web Mining, Marketing, Image and Signal Mining doi: 10.1007/11790853_27 – volume: 3 start-page: 2678 year: 2006 ident: ref30 article-title: Clustering using multiobjective genetic algorithm and its application to image segmentation publication-title: Proc IEEE Int Conf SMC – start-page: 561 year: 2003 ident: ref77 article-title: Facilitating fuzzy association rules mining by using multiobjective genetic algorithms for automated clustering publication-title: Proc 3rd IEEE ICDM – ident: ref15 doi: 10.1109/TGRS.2007.892604 – ident: ref87 doi: 10.4236/ijis.2012.224016 – start-page: 451 year: 2004 ident: ref38 article-title: Multi-objective genetic algorithm based clustering approach and its application to gene expression data publication-title: Proc 3rd Int Conf ADVIS – year: 2001 ident: ref104 publication-title: Estimation of Distribution Algorithms A New Tool for Evolutionary Computation – ident: ref25 doi: 10.1145/1276958.1277346 – ident: ref6 doi: 10.1016/S0031-3203(99)00137-5 – ident: ref48 doi: 10.1109/ICAPR.2009.51 – start-page: 115 year: 2008 ident: ref80 article-title: A multiobjective genetic-fuzzy mining algorithm publication-title: Proc IEEE Int Conf GRC – ident: ref72 doi: 10.1016/j.eswa.2010.06.060 – ident: ref82 doi: 10.1109/TCBB.2007.070203 – ident: ref32 doi: 10.1007/s00500-009-0428-y – ident: ref76 doi: 10.1016/j.ejor.2006.10.059 – ident: ref90 doi: 10.1109/EMPDP.2002.994315 – ident: ref16 doi: 10.1109/CEC.2007.4424620 – ident: ref101 doi: 10.1109/CEC.2008.4630996 – ident: ref105 doi: 10.1109/CEC.2011.5949941 – start-page: 50 year: 2007 ident: ref108 article-title: Multiobjective genetic algorithm for extracting subgroup discovery fuzzy rules publication-title: Proc IEEE Symp Comput Intell Multicriteria Decision Making doi: 10.1109/MCDM.2007.369416 – start-page: 93 year: 2000 ident: ref98 article-title: Biclustering of gene expression data publication-title: Proc Int Conf ISMB – ident: ref79 doi: 10.1007/s10844-007-0044-1 – start-page: 405 year: 2007 ident: ref70 article-title: Association rules mining using multiobjective coevolutionary algorithm publication-title: Proc Int Conf CISW – ident: ref21 doi: 10.1109/TEVC.2009.2012163 – start-page: 431 year: 2004 ident: ref78 article-title: Integrating multiobjective genetic algorithms into clustering for fuzzy association rules mining publication-title: Proc of the 4th IEEE ICDM – start-page: 1912 year: 2008 ident: ref103 article-title: Biclustering of gene expression data with a new hybrid multiobjective evolutionary algorithm of NSGA-II and EDA publication-title: Proc ICBBE – ident: ref59 doi: 10.1109/CEC.2005.1554990 – ident: ref58 doi: 10.1111/1467-9868.00293 – ident: ref116 doi: 10.1007/s10489-008-0129-8 – ident: ref91 doi: 10.1109/ICDAR.2003.1227748 – start-page: 2298 year: 2008 ident: ref17 article-title: Data clustering using multiobjective hybrid evolutionary algorithm publication-title: Proc Int Conf Control Autom Syst – ident: ref1 doi: 10.1109/TEVC.2013.2290086 – ident: ref33 doi: 10.1145/1830483.1830699 – ident: ref110 doi: 10.1007/s00500-008-0362-4 – ident: ref9 doi: 10.1109/CEC.2005.1554742 – ident: ref56 doi: 10.1023/A:1012801612483 – volume: 9 start-page: 18 year: 2008 ident: ref93 article-title: An ensemble of classifiers with genetic algorithm based feature selection publication-title: IEEE Intell Inf Bull – volume: 16 start-page: 21 year: 2006 ident: ref57 publication-title: Multiobjective Clustering and Cluster Validation – ident: ref37 doi: 10.1109/34.85677 – ident: ref99 doi: 10.1016/j.patcog.2006.03.003 – ident: ref4 doi: 10.1145/170035.170072 – ident: ref45 doi: 10.1109/TPAMI.1979.4766909 – start-page: 1200 year: 2006 ident: ref14 article-title: Multi-objective evolutionary clustering using variable-length real jumping genes genetic algorithm publication-title: Proc ICPR – start-page: 2732 year: 2012 ident: ref113 article-title: Multiobjective evolutionary algorithm-based soft subspace clustering publication-title: Proc IEEE CEC – ident: ref117 doi: 10.1162/evco.2009.17.4.17403 – start-page: 83 year: 2007 ident: ref95 article-title: Applying biclustering to text mining: An immune-inspired approach publication-title: Proc 7th ICARIS – start-page: 73 year: 2005 ident: ref13 article-title: Dynamic clustering using multiobjective evolutionary algorithm publication-title: Proc Int Conf Comput Intell Security? Part I – ident: ref71 doi: 10.1051/ro:2008004 – volume: 1 start-page: 861 year: 0 ident: ref60 article-title: Multiobjective Clustering with Automatic <formula formulatype="inline"><tex Notation="TeX">$k$</tex> </formula>-determination for Large-scale Data. Scalable automatic determination of the number of clusters publication-title: Proc of GECCO '07 – ident: ref12 doi: 10.1109/4235.996017 – start-page: 283 year: 2001 ident: ref7 article-title: PESA-II: Region-based selection in evolutionary multiobjective optimization publication-title: Proc GECCO – start-page: 976 year: 2009 ident: ref20 article-title: Evolutionary multiobjective clustering for overlapping clusters detection publication-title: Proc IEEE CEC – ident: ref52 doi: 10.1109/TBME.2012.2220765 – volume: 3410 start-page: 592 year: 2005 ident: ref92 article-title: Multi-objective genetic algorithms to create ensemble of classifiers publication-title: Proc 3rd Int Conf EMO – ident: ref88 doi: 10.1109/CEC.2001.934295 – ident: ref100 doi: 10.1109/TITB.2009.2017527 – ident: ref89 doi: 10.1109/3477.809027 – ident: ref85 doi: 10.1007/11844297_46 – year: 1993 ident: ref28 publication-title: Multiobjective optimization using the niched Pareto genetic algorithm – start-page: 1081 year: 2004 ident: ref8 article-title: Evolutionary multiobjective clustering publication-title: Proc 8th Int Conf PPSN – ident: ref51 doi: 10.1007/978-3-642-32964-7_4 – ident: ref19 doi: 10.1186/1471-2105-10-27 – start-page: 767 year: 2005 ident: ref106 article-title: A multiobjective memetic algorithm for intelligent feature extraction publication-title: Proc 3rd Int Conf EMO – ident: ref40 doi: 10.1016/0377-0427(87)90125-7 – start-page: 265 year: 2000 ident: ref55 article-title: Quality scheme assessment in the clustering process publication-title: Proc 5th Eur Conf Principles of Data Mining and Knowledge Discovery doi: 10.1007/3-540-45372-5_26 – start-page: 95 year: 2001 ident: ref27 article-title: SPEA2: Improving the Strength Pareto Evolutionary Algorithm publication-title: Proc EUROGEN – ident: ref46 doi: 10.1080/01969727408546059 – ident: ref44 doi: 10.1007/BF03263533 – ident: ref50 doi: 10.1109/TEVC.2012.2185847 – volume: 6936 start-page: 317 year: 2011 ident: ref24 publication-title: Intelligent Data Engineering & Automated Learning (LNCS) – ident: ref83 doi: 10.1109/CEC.2003.1299928 |
| SSID | ssj0014519 |
| Score | 2.4915934 |
| SecondaryResourceType | review_article |
| Snippet | This paper is the second part of a two-part paper, which is a survey of multiobjective evolutionary algorithms for data mining problems. In Part I ,... This paper is the second part of a two-part paper, which is a survey of multiobjective evolutionary algorithms for data mining problems. In Part I [Ref 1] ,... |
| SourceID | proquest crossref ieee |
| SourceType | Aggregation Database Enrichment Source Index Database Publisher |
| StartPage | 20 |
| SubjectTerms | Association rule mining Association rules biclustering Biological cells Classification Clustering Clustering algorithms Data mining Encoding ensemble learning Evolutionary algorithms Indexes Linear programming multiobjective evolutionary algorithms Tasks |
| Title | Survey of Multiobjective Evolutionary Algorithms for Data Mining: Part II |
| URI | https://ieeexplore.ieee.org/document/6658840 https://www.proquest.com/docview/1504618862 https://www.proquest.com/docview/1520945567 |
| Volume | 18 |
| WOSCitedRecordID | wos000330890700003&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D |
| hasFullText | 1 |
| inHoldings | 1 |
| isFullTextHit | |
| isPrint | |
| journalDatabaseRights | – providerCode: PRVIEE databaseName: IEEE Xplore customDbUrl: eissn: 1941-0026 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0014519 issn: 1089-778X databaseCode: RIE dateStart: 19970101 isFulltext: true titleUrlDefault: https://ieeexplore.ieee.org/ providerName: IEEE |
| link | http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwlV3dS90wFD848WF7mJtueDcnGfgkqzZtmiZ7E3dlF5wIunHfSpKebIq7Hb29F_zvl6S5xTERfCs0_SC_c5LfyfkC2K9zXVrHLJLc6DJhjvInyhHnpBY8t1aJNLMB6bPy_FxMp_JiDT4NuTCIGILP8NBfBl9-3ZiFPyo74tynVToD_VlZ8j5Xa_AY-DIpfTC9dIxRTKMHk6by6Gr848QHceWHvrh5KrJ_9qDQVOW_lThsL6ebT_uxV_Ay0khy3OP-GtZwtgWbqxYNJGrsFry4V29wGyaXi3aJd6SxJCTeNvqmX-_IeBlFULV35Pj2Z9Ned79-z4mjtOSL6hT5FhpJfCYXTtTIZPIGvp-Or06-JrGXQmIcA-oSZ0fUtBZSOKUzlkuUBSrmi9nUtKh1nlpjhcw0K3LJmbBSWWkkokLmGIpJ87ewPmtmuAPEuk0_44g2Z5pRrSWTHIWgmFFNKZcjSFezW5lYaNz3u7itgsGRysoDUnlAqgjICA6GR_70VTYeG7ztERgGxskfwe4Kwirq4bxydJdxKpz0jeDjcNtpkHeLqBk2Cz8mczZuUfDy3cNvfg_P3fdZH6u9C-tdu8APsGGW3fW83Qti-BfB9tik |
| linkProvider | IEEE |
| linkToHtml | http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwlV3_a9QwFH-MKag_ON0Uz02N4E9it6ZNc8l-G_PGDm_HwFPut5KkL25jXqXXO9h_b5LmiqII_lZoUkI-7yWf1_cN4F2V66F1zCLJjR4mzFH-RDninFSC59YqkWY2ID0ZTqdiPpeXW_Chz4VBxBB8hof-Mfjyq9qs_K-yI859WqUz0O8VjGVpl63V-wx8oZQunF46zijm0YdJU3k0G3099WFc-aEvb56K7LdbKLRV-eMsDhfM2c7_Le0JPI5Ekpx0yD-FLVzsws6mSQOJOrsLj36pOLgH48-rZo13pLYkpN7W-qY78choHYVQNXfk5PZb3Vy3V9-XxJFa8lG1ilyEVhLH5NIJGxmPn8GXs9Hs9DyJ3RQS4zhQmzhLoqKVkMKpnbFcoixQMV_OpqJFpfPUGitkplmRS86ElcpKIxEVMsdRTJo_h-1FvcAXQKy79jOOaHOmGdVaMslRCIoZ1ZRyOYB0s7uliaXGfceL2zKYHKksPSClB6SMgAzgfT_lR1dn41-D9zwC_cC4-QM42EBYRk1clo7wMk6Fk78BvO1fOx3yjhG1wHrlx2TOyi0KPnz59y-_gQfns4tJORlPP-3DQ7cW1kVuH8B226zwFdw36_Z62bwOIvkTL33b6w |
| openUrl | ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Survey+of+Multiobjective+Evolutionary+Algorithms+for+Data+Mining%3A+Part+II&rft.jtitle=IEEE+transactions+on+evolutionary+computation&rft.au=Mukhopadhyay%2C+Anirban&rft.au=Maulik%2C+Ujjwal&rft.au=Bandyopadhyay%2C+Sanghamitra&rft.au=Coello%2C+Carlos+A.+Coello&rft.date=2014-02-01&rft.issn=1089-778X&rft.eissn=1941-0026&rft.volume=18&rft.issue=1&rft.spage=20&rft.epage=35&rft_id=info:doi/10.1109%2FTEVC.2013.2290082&rft.externalDBID=n%2Fa&rft.externalDocID=10_1109_TEVC_2013_2290082 |
| thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=1089-778X&client=summon |
| thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=1089-778X&client=summon |
| thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=1089-778X&client=summon |