{"id":"https://openalex.org/W4313459268","doi":"https://doi.org/10.1109/iccr56254.2022.9996063","title":"Supervised and Unsupervised Prediction Application of Machine Learning","display_name":"Supervised and Unsupervised Prediction Application of Machine Learning","publication_year":2022,"publication_date":"2022-10-06","ids":{"openalex":"https://openalex.org/W4313459268","doi":"https://doi.org/10.1109/iccr56254.2022.9996063"},"language":"en","primary_location":{"id":"doi:10.1109/iccr56254.2022.9996063","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/iccr56254.2022.9996063","pdf_url":null,"source":{"id":"https://openalex.org/S4363608155","display_name":"2022 International Conference on Cyber Resilience (ICCR)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 International Conference on Cyber Resilience (ICCR)","raw_type":"proceedings-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/A5033122703","display_name":"Anurag Sharma","orcid":"https://orcid.org/0000-0003-1737-7966"},"institutions":[{"id":"https://openalex.org/I101407740","display_name":"Chandigarh University","ror":"https://ror.org/05t4pvx35","country_code":"IN","type":"education","lineage":["https://openalex.org/I101407740"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Anurag Sharma","raw_affiliation_strings":["Chandigarh University,Department of Computer Science,Gharuan,Punjab,India","Department of Computer Science, Chandigarh University, Gharuan, Punjab, India"],"affiliations":[{"raw_affiliation_string":"Chandigarh University,Department of Computer Science,Gharuan,Punjab,India","institution_ids":["https://openalex.org/I101407740"]},{"raw_affiliation_string":"Department of Computer Science, Chandigarh University, Gharuan, Punjab, India","institution_ids":["https://openalex.org/I101407740"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100768119","display_name":"Amanpreet Kaur","orcid":"https://orcid.org/0009-0002-2261-7776"},"institutions":[{"id":"https://openalex.org/I101407740","display_name":"Chandigarh University","ror":"https://ror.org/05t4pvx35","country_code":"IN","type":"education","lineage":["https://openalex.org/I101407740"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Amanpreet Kaur","raw_affiliation_strings":["Chandigarh University,Department of Computer Science,Gharuan,Punjab,India","Department of Computer Science, Chandigarh University, Gharuan, Punjab, India"],"affiliations":[{"raw_affiliation_string":"Chandigarh University,Department of Computer Science,Gharuan,Punjab,India","institution_ids":["https://openalex.org/I101407740"]},{"raw_affiliation_string":"Department of Computer Science, Chandigarh University, Gharuan, Punjab, India","institution_ids":["https://openalex.org/I101407740"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5082429642","display_name":"Amit Semwal","orcid":"https://orcid.org/0000-0002-1430-9450"},"institutions":[{"id":"https://openalex.org/I3132702812","display_name":"Uttaranchal University","ror":"https://ror.org/00ba6pg24","country_code":"IN","type":"education","lineage":["https://openalex.org/I3132702812"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Amit Semwal","raw_affiliation_strings":["Uttaranchal University,Dehradun,India,248007"],"affiliations":[{"raw_affiliation_string":"Uttaranchal University,Dehradun,India,248007","institution_ids":["https://openalex.org/I3132702812"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5033122703"],"corresponding_institution_ids":["https://openalex.org/I101407740"],"apc_list":null,"apc_paid":null,"fwci":0.3138,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.53792336,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12535","display_name":"Machine Learning and Data Classification","score":0.9959999918937683,"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"}},"topics":[{"id":"https://openalex.org/T12535","display_name":"Machine Learning and Data Classification","score":0.9959999918937683,"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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9915000200271606,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T12761","display_name":"Data Stream Mining Techniques","score":0.9911999702453613,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.845510721206665},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7933727502822876},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7429999709129333},{"id":"https://openalex.org/keywords/unsupervised-learning","display_name":"Unsupervised learning","score":0.6314018964767456},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5903472900390625},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.5562607049942017},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.5478607416152954},{"id":"https://openalex.org/keywords/supervised-learning","display_name":"Supervised learning","score":0.5452826619148254},{"id":"https://openalex.org/keywords/online-machine-learning","display_name":"Online machine learning","score":0.4812212288379669},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.4543028771877289},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.45404118299484253},{"id":"https://openalex.org/keywords/bayesian-network","display_name":"Bayesian network","score":0.44359099864959717},{"id":"https://openalex.org/keywords/naive-bayes-classifier","display_name":"Naive Bayes classifier","score":0.4308878481388092},{"id":"https://openalex.org/keywords/relevance-vector-machine","display_name":"Relevance vector machine","score":0.41643577814102173}],"concepts":[{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.845510721206665},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7933727502822876},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7429999709129333},{"id":"https://openalex.org/C8038995","wikidata":"https://www.wikidata.org/wiki/Q1152135","display_name":"Unsupervised learning","level":2,"score":0.6314018964767456},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5903472900390625},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.5562607049942017},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.5478607416152954},{"id":"https://openalex.org/C136389625","wikidata":"https://www.wikidata.org/wiki/Q334384","display_name":"Supervised learning","level":3,"score":0.5452826619148254},{"id":"https://openalex.org/C115903097","wikidata":"https://www.wikidata.org/wiki/Q7094097","display_name":"Online machine learning","level":3,"score":0.4812212288379669},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.4543028771877289},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.45404118299484253},{"id":"https://openalex.org/C33724603","wikidata":"https://www.wikidata.org/wiki/Q812540","display_name":"Bayesian network","level":2,"score":0.44359099864959717},{"id":"https://openalex.org/C52001869","wikidata":"https://www.wikidata.org/wiki/Q812530","display_name":"Naive Bayes classifier","level":3,"score":0.4308878481388092},{"id":"https://openalex.org/C14948415","wikidata":"https://www.wikidata.org/wiki/Q7310972","display_name":"Relevance vector machine","level":3,"score":0.41643577814102173},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iccr56254.2022.9996063","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/iccr56254.2022.9996063","pdf_url":null,"source":{"id":"https://openalex.org/S4363608155","display_name":"2022 International Conference on Cyber Resilience (ICCR)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 International Conference on Cyber Resilience (ICCR)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W58801888","https://openalex.org/W1505191356","https://openalex.org/W1617328014","https://openalex.org/W1678889691","https://openalex.org/W1866881459","https://openalex.org/W1873332500","https://openalex.org/W1965398296","https://openalex.org/W1979423827","https://openalex.org/W2131431916","https://openalex.org/W2134731454","https://openalex.org/W2153081307","https://openalex.org/W2161374186","https://openalex.org/W2169205464","https://openalex.org/W2263572070","https://openalex.org/W2284014940","https://openalex.org/W2606675507","https://openalex.org/W2734479400","https://openalex.org/W2799414856","https://openalex.org/W2909726747","https://openalex.org/W2979669521","https://openalex.org/W2983164549","https://openalex.org/W2986929064","https://openalex.org/W2999958824","https://openalex.org/W3103942004","https://openalex.org/W3106572699","https://openalex.org/W3178340391","https://openalex.org/W3185636585","https://openalex.org/W3189143607","https://openalex.org/W3206246976","https://openalex.org/W4224050562","https://openalex.org/W6639175750","https://openalex.org/W6799878433"],"related_works":["https://openalex.org/W2897787625","https://openalex.org/W2361533143","https://openalex.org/W3148060700","https://openalex.org/W4286799911","https://openalex.org/W3080681248","https://openalex.org/W4376646226","https://openalex.org/W4285282334","https://openalex.org/W3047177827","https://openalex.org/W2531570999","https://openalex.org/W4390062853"],"abstract_inverted_index":{"Machine":[0],"learning":[1,52,106,114,128,138,175],"field":[2],"is":[3,33,74,146],"introduced":[4,54],"at":[5],"the":[6,28,31,36,83,102,121,141,144,150,154,159],"level":[7],"of":[8,30,44,87,104,143,153],"concept.":[9,40],"Ideas":[10],"such":[11,107],"as":[12,16,18,35,55,108],"supervised":[13,113,137],"and":[14,27,60,69,90,92,112,115,130],"unsupervised":[15],"well":[17],"regression":[19],"are":[20,53],"explained.":[21],"The":[22,41,162],"trade-off":[23],"between":[24],"bias,":[25],"diversity,":[26],"complexity":[29],"model":[32,145],"discussed":[34,75],"primary":[37],"study":[38],"guide":[39],"different":[42],"types":[43],"models":[45],"that":[46],"can":[47],"be":[48],"produced":[49],"by":[50,100],"machine":[51,105,127,174],"a":[56,126,173],"neural":[57],"network":[58],"(feed":[59],"repetitive),":[61],"vector":[62],"support":[63],"machine,":[64],"random":[65],"forest,":[66],"map":[67],"maps,":[68],"Bayesian":[70],"network.":[71],"Model":[72],"training":[73],"next":[76,148],"with":[77,165],"its":[78,132],"main":[79,122],"ideas":[80],"for":[81],"dividing":[82],"database":[84],"into":[85],"sets":[86],"training,":[88],"testing,":[89,110],"validation":[91],"performing":[93],"cross-validation.":[94],"In":[95],"this":[96],"chapter,":[97],"we":[98,119,135],"begin":[99],"reviewing":[101],"basics":[103],"feature":[109],"unregulated":[111],"classification":[116],"types.":[117],"Then,":[118],"identify":[120],"problems":[123],"in":[124,157],"designing":[125],"test":[129],"evaluating":[131],"performance.":[133],"Finally,":[134],"introduce":[136],"methods.":[139],"Modeling":[140],"quality":[142],"handled":[147],"to":[149,171],"important":[151],"role":[152],"site":[155],"specialist":[156],"keeping":[158],"project":[160],"real.":[161],"paper":[163],"concludes":[164],"some":[166],"practical":[167],"tips":[168],"on":[169],"how":[170],"create":[172],"project.":[176]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":3}],"updated_date":"2026-03-25T13:04:00.132906","created_date":"2025-10-10T00:00:00"}