{"id":"https://openalex.org/W2752631091","doi":"https://doi.org/10.1145/3093241.3093270","title":"Comparison and Performance Analysis of Machine Learning Algorithms for the Prediction of Human Actions in a Smart Home Environment","display_name":"Comparison and Performance Analysis of Machine Learning Algorithms for the Prediction of Human Actions in a Smart Home Environment","publication_year":2017,"publication_date":"2017-05-19","ids":{"openalex":"https://openalex.org/W2752631091","doi":"https://doi.org/10.1145/3093241.3093270","mag":"2752631091"},"language":"en","primary_location":{"id":"doi:10.1145/3093241.3093270","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3093241.3093270","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the International Conference on Compute and Data Analysis","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/A5028816468","display_name":"Basman M. Hasan Alhafidh","orcid":"https://orcid.org/0000-0002-3211-3355"},"institutions":[{"id":"https://openalex.org/I12150220","display_name":"University of Mosul","ror":"https://ror.org/039cf4q47","country_code":"IQ","type":"education","lineage":["https://openalex.org/I12150220"]},{"id":"https://openalex.org/I106959904","display_name":"Florida Institute of Technology","ror":"https://ror.org/04atsbb87","country_code":"US","type":"education","lineage":["https://openalex.org/I106959904"]}],"countries":["IQ","US"],"is_corresponding":true,"raw_author_name":"Basman M. Hasan Alhafidh","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Florida Institute of Technology, Melbourne, FL, USA, Comp. Engin. Dept., Mosul University, Mosul, Iraq"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Florida Institute of Technology, Melbourne, FL, USA, Comp. Engin. Dept., Mosul University, Mosul, Iraq","institution_ids":["https://openalex.org/I12150220","https://openalex.org/I106959904"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5065824077","display_name":"William H. Allen","orcid":"https://orcid.org/0000-0002-2779-5144"},"institutions":[{"id":"https://openalex.org/I106959904","display_name":"Florida Institute of Technology","ror":"https://ror.org/04atsbb87","country_code":"US","type":"education","lineage":["https://openalex.org/I106959904"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"William H. Allen","raw_affiliation_strings":["School of Computing, Florida Institute of Technology, Melbourne, FL, USA"],"affiliations":[{"raw_affiliation_string":"School of Computing, Florida Institute of Technology, Melbourne, FL, USA","institution_ids":["https://openalex.org/I106959904"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5028816468"],"corresponding_institution_ids":["https://openalex.org/I106959904","https://openalex.org/I12150220"],"apc_list":null,"apc_paid":null,"fwci":0.2731,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.63871742,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"54","last_page":"59"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.9994000196456909,"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"}},"topics":[{"id":"https://openalex.org/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.9994000196456909,"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"}},{"id":"https://openalex.org/T12222","display_name":"IoT-based Smart Home Systems","score":0.9865999817848206,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9620000123977661,"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/computer-science","display_name":"Computer science","score":0.7834224700927734},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.7702305912971497},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.6916385293006897},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6738507747650146},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5337843298912048},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.46166306734085083},{"id":"https://openalex.org/keywords/online-machine-learning","display_name":"Online machine learning","score":0.41961681842803955},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4149620532989502},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.37131360173225403},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.17138680815696716}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7834224700927734},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.7702305912971497},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.6916385293006897},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6738507747650146},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5337843298912048},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.46166306734085083},{"id":"https://openalex.org/C115903097","wikidata":"https://www.wikidata.org/wiki/Q7094097","display_name":"Online machine learning","level":3,"score":0.41961681842803955},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4149620532989502},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.37131360173225403},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.17138680815696716},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3093241.3093270","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3093241.3093270","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the International Conference on Compute and Data Analysis","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.46000000834465027}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W201362898","https://openalex.org/W1599494361","https://openalex.org/W1931059338","https://openalex.org/W2024764203","https://openalex.org/W2159656992","https://openalex.org/W2401078950","https://openalex.org/W2551891402","https://openalex.org/W2911964244","https://openalex.org/W3143615388","https://openalex.org/W3152703111","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W3206920865","https://openalex.org/W4286799911","https://openalex.org/W2990460313","https://openalex.org/W2339204188","https://openalex.org/W3101157325","https://openalex.org/W3033485676","https://openalex.org/W3159631642","https://openalex.org/W3210156800","https://openalex.org/W2969890106","https://openalex.org/W4362673197"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3],"present":[4],"a":[5,24,40,51,89],"set":[6],"of":[7,13,20,47,58,63,91,112],"experiments":[8,29],"to":[9],"compare":[10],"the":[11,18,33,45,56,83,95,101],"performance":[12,80],"machine":[14,71],"learning":[15,72],"algorithms":[16],"for":[17,65,82],"prediction":[19,66],"human":[21],"actions":[22],"in":[23],"smart":[25],"home":[26],"environment.":[27],"These":[28],"use":[30,57],"data":[31],"from":[32,39],"MavPad":[34],"dataset":[35],"which":[36],"was":[37,106],"gathered":[38],"real-world":[41],"environment":[42],"and":[43,60,67,77,99],"tracks":[44],"activities":[46],"an":[48],"individual":[49],"over":[50,109],"49-day":[52],"period.":[53],"We":[54],"investigated":[55],"single":[59],"multiple":[61],"groups":[62],"sensors":[64,93],"employed":[68],"four":[69],"different":[70],"approaches":[73],"with":[74],"both":[75],"accuracy":[76],"execution":[78],"time":[79],"used":[81],"comparisons.":[84],"The":[85],"results":[86,98],"showed":[87],"that":[88,100],"group":[90],"seven":[92],"produces":[94],"most":[96],"accurate":[97,108],"Support":[102],"Vector":[103],"Machine":[104],"approach":[105],"more":[107],"all":[110],"combinations":[111],"input":[113],"data.":[114]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}