{"id":"https://openalex.org/W3161259839","doi":"https://doi.org/10.1109/tem.2021.3073018","title":"Mutual Informative MapReduce and Minimum Quadrangle Classification for Brain Tumor Big Data","display_name":"Mutual Informative MapReduce and Minimum Quadrangle Classification for Brain Tumor Big Data","publication_year":2021,"publication_date":"2021-05-11","ids":{"openalex":"https://openalex.org/W3161259839","doi":"https://doi.org/10.1109/tem.2021.3073018","mag":"3161259839"},"language":"en","primary_location":{"id":"doi:10.1109/tem.2021.3073018","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tem.2021.3073018","pdf_url":null,"source":{"id":"https://openalex.org/S154533451","display_name":"IEEE Transactions on Engineering Management","issn_l":"0018-9391","issn":["0018-9391","1558-0040"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Engineering Management","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5027454208","display_name":"R. Manikandan","orcid":"https://orcid.org/0000-0001-6116-2132"},"institutions":[{"id":"https://openalex.org/I932239252","display_name":"SASTRA University","ror":"https://ror.org/032jk8892","country_code":"IN","type":"education","lineage":["https://openalex.org/I932239252"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Manikandan Ramachandran","raw_affiliation_strings":["School of Computing, SASTRA Deemed University, Thanjavur, Tamil Nadu, India"],"affiliations":[{"raw_affiliation_string":"School of Computing, SASTRA Deemed University, Thanjavur, Tamil Nadu, India","institution_ids":["https://openalex.org/I932239252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050142015","display_name":"Rizwan Patan","orcid":"https://orcid.org/0000-0003-4878-1988"},"institutions":[{"id":"https://openalex.org/I116891498","display_name":"Siddhartha Medical College","ror":"https://ror.org/058pt1w78","country_code":"IN","type":"education","lineage":["https://openalex.org/I116891498"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Rizwan Patan","raw_affiliation_strings":["Department of Computer Science and Engineering, Velagapudi Ramakrishna Siddhartha Engineering College, Vijayawada, Andhra Pradesh, India"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Velagapudi Ramakrishna Siddhartha Engineering College, Vijayawada, Andhra Pradesh, India","institution_ids":["https://openalex.org/I116891498"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056680000","display_name":"Ambeshwar Kumar","orcid":"https://orcid.org/0000-0001-5393-6361"},"institutions":[{"id":"https://openalex.org/I932239252","display_name":"SASTRA University","ror":"https://ror.org/032jk8892","country_code":"IN","type":"education","lineage":["https://openalex.org/I932239252"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Ambeshwar Kumar","raw_affiliation_strings":["School of Computing, SASTRA Deemed University, Thanjavur, Tamil Nadu, India"],"affiliations":[{"raw_affiliation_string":"School of Computing, SASTRA Deemed University, Thanjavur, Tamil Nadu, India","institution_ids":["https://openalex.org/I932239252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014344856","display_name":"Soheil Hosseini","orcid":null},"institutions":[{"id":"https://openalex.org/I145311948","display_name":"Johns Hopkins University","ror":"https://ror.org/00za53h95","country_code":"US","type":"education","lineage":["https://openalex.org/I145311948"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Soheil Hosseini","raw_affiliation_strings":["Whiting School of Engineering, Johns Hopkins University, Baltimore, MD, USA"],"affiliations":[{"raw_affiliation_string":"Whiting School of Engineering, Johns Hopkins University, Baltimore, MD, USA","institution_ids":["https://openalex.org/I145311948"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5039341855","display_name":"Amir H. Gandomi","orcid":"https://orcid.org/0000-0002-2798-0104"},"institutions":[{"id":"https://openalex.org/I114017466","display_name":"University of Technology Sydney","ror":"https://ror.org/03f0f6041","country_code":"AU","type":"education","lineage":["https://openalex.org/I114017466"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Amir H. Gandomi","raw_affiliation_strings":["Faculty of Engineering &amp; Information Systems, University of Technology Sydney, Ultimo, NSW, Australia"],"affiliations":[{"raw_affiliation_string":"Faculty of Engineering &amp; Information Systems, University of Technology Sydney, Ultimo, NSW, Australia","institution_ids":["https://openalex.org/I114017466"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5027454208"],"corresponding_institution_ids":["https://openalex.org/I932239252"],"apc_list":null,"apc_paid":null,"fwci":1.0001,"has_fulltext":false,"cited_by_count":19,"citation_normalized_percentile":{"value":0.7453102,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"70","issue":"8","first_page":"2644","last_page":"2655"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12702","display_name":"Brain Tumor Detection and Classification","score":1.0,"subfield":{"id":"https://openalex.org/subfields/2808","display_name":"Neurology"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T12702","display_name":"Brain Tumor Detection and Classification","score":1.0,"subfield":{"id":"https://openalex.org/subfields/2808","display_name":"Neurology"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T12676","display_name":"Machine Learning and ELM","score":0.9977999925613403,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12874","display_name":"Digital Imaging for Blood Diseases","score":0.9919000267982483,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.8008190393447876},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7724354267120361},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6488507986068726},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.5904107093811035},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5635966062545776},{"id":"https://openalex.org/keywords/quadrangle","display_name":"Quadrangle","score":0.5599380135536194},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.5392926931381226},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.5002243518829346},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.443502277135849},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.42329829931259155},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.36567434668540955}],"concepts":[{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.8008190393447876},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7724354267120361},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6488507986068726},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.5904107093811035},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5635966062545776},{"id":"https://openalex.org/C27258493","wikidata":"https://www.wikidata.org/wiki/Q7268308","display_name":"Quadrangle","level":2,"score":0.5599380135536194},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.5392926931381226},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.5002243518829346},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.443502277135849},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.42329829931259155},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.36567434668540955},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C95457728","wikidata":"https://www.wikidata.org/wiki/Q309","display_name":"History","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tem.2021.3073018","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tem.2021.3073018","pdf_url":null,"source":{"id":"https://openalex.org/S154533451","display_name":"IEEE Transactions on Engineering Management","issn_l":"0018-9391","issn":["0018-9391","1558-0040"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Engineering Management","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Partnerships for the goals","score":0.4099999964237213,"id":"https://metadata.un.org/sdg/17"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":51,"referenced_works":["https://openalex.org/W1128292551","https://openalex.org/W1871050032","https://openalex.org/W1985215121","https://openalex.org/W2007975429","https://openalex.org/W2015473556","https://openalex.org/W2043754618","https://openalex.org/W2056743638","https://openalex.org/W2073469994","https://openalex.org/W2081788196","https://openalex.org/W2287586640","https://openalex.org/W2310992461","https://openalex.org/W2315754445","https://openalex.org/W2328113634","https://openalex.org/W2337525131","https://openalex.org/W2512279393","https://openalex.org/W2521587260","https://openalex.org/W2539508357","https://openalex.org/W2548728501","https://openalex.org/W2561981131","https://openalex.org/W2566506518","https://openalex.org/W2579247884","https://openalex.org/W2599522320","https://openalex.org/W2605173345","https://openalex.org/W2608051431","https://openalex.org/W2610135452","https://openalex.org/W2734778705","https://openalex.org/W2757727956","https://openalex.org/W2761116651","https://openalex.org/W2761819801","https://openalex.org/W2762895033","https://openalex.org/W2765490497","https://openalex.org/W2765921558","https://openalex.org/W2766535618","https://openalex.org/W2770132326","https://openalex.org/W2773176415","https://openalex.org/W2780099243","https://openalex.org/W2782920681","https://openalex.org/W2786655930","https://openalex.org/W2789645940","https://openalex.org/W2790718346","https://openalex.org/W2791609473","https://openalex.org/W2793933216","https://openalex.org/W2794386652","https://openalex.org/W2797624406","https://openalex.org/W2799476711","https://openalex.org/W2803439781","https://openalex.org/W2809362253","https://openalex.org/W2891857663","https://openalex.org/W2946489756","https://openalex.org/W4245822814","https://openalex.org/W6703153083"],"related_works":["https://openalex.org/W2345184372","https://openalex.org/W3013515612","https://openalex.org/W2136184105","https://openalex.org/W2187500075","https://openalex.org/W2041399278","https://openalex.org/W2160451891","https://openalex.org/W2336974148","https://openalex.org/W3014300295","https://openalex.org/W2056016498","https://openalex.org/W1858454510"],"abstract_inverted_index":{"Machine":[0],"learning":[1,202],"algorithms":[2],"such":[3],"as":[4,31],"support":[5,126],"vector":[6,127],"machine":[7,128,201],"(SVM)":[8],"have":[9],"been":[10],"widely":[11],"used":[12],"to":[13,37,51,80,219],"detect":[14],"brain":[15,77,102,120,212],"tumors":[16],"in":[17,41,100,192,209],"big":[18,85,115],"data":[19,54,86],"environments.":[20],"However,":[21],"the":[22,32,101,108,119,123,142,145,163,170,181,204,220],"SVM":[23,50],"classifier":[24],"is":[25,35,47,74,90,130,151],"unsuitable":[26],"for":[27,76,117,140],"a":[28,44,63,114,154],"large":[29],"dataset":[30,116,156],"complexity":[33,110,183],"involved":[34],"found":[36],"be":[38],"high.":[39],"Therefore,":[40],"this":[42,58,61],"article,":[43,62],"MapReduce":[45,68],"model":[46,129,172],"introduced":[48,75],"with":[49,57,84,194,199],"handle":[52,81],"large-scale":[53],"and":[55,69,97,111,135,184,189,216],"deal":[56],"issue.":[59],"In":[60],"framework":[64,150,206],"called":[65,157],"mutual":[66],"informative":[67],"minimum":[70,124],"quadrangle":[71,125],"classification":[72,146],"(MIMR-MQC)":[73],"tumor":[78,103,160,213],"detection":[79,177,185,214],"challenges":[82],"associated":[83],"classification.":[87],"Here,":[88],"preprocessing":[89],"performed":[91],"using":[92,113,132],"MIMR,":[93],"which":[94],"removes":[95],"unwanted":[96],"redundant":[98],"attributes":[99],"dataset.":[104],"This":[105],"technique":[106],"reduces":[107],"computation":[109],"time":[112,186,215],"detecting":[118],"tumors.":[121],"Then,":[122],"created":[131],"Lagrange":[133],"multipliers":[134],"radial":[136],"basis":[137],"kernel":[138],"function":[139],"improving":[141],"efficiency":[143],"of":[144,162,175,211,223],"process.":[147],"The":[148],"MIMR-MQC":[149,205],"validated":[152],"on":[153],"standard":[155],"Central":[158],"Brain":[159],"Registry":[161],"United":[164],"States":[165],"(CBTRUS).":[166],"Results":[167],"show":[168],"that":[169],"proposed":[171],"observed":[173],"21%":[174],"higher":[176],"accuracy":[178,217],"by":[179,187],"minimizing":[180],"computational":[182],"37%":[188],"27%,":[190],"respectively":[191],"comparison":[193,198],"existing":[195],"models.":[196],"A":[197],"state-of-the-art":[200],"techniques,":[203],"performs":[207],"better":[208,221],"terms":[210],"due":[218],"distribution":[222],"data.":[224]},"counts_by_year":[{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
