{"id":"https://openalex.org/W2320859306","doi":"https://doi.org/10.1109/ccnc.2016.7444731","title":"PAT: A power-aware decision tree algorithm for mobile activity recognition","display_name":"PAT: A power-aware decision tree algorithm for mobile activity recognition","publication_year":2016,"publication_date":"2016-01-01","ids":{"openalex":"https://openalex.org/W2320859306","doi":"https://doi.org/10.1109/ccnc.2016.7444731","mag":"2320859306"},"language":"en","primary_location":{"id":"doi:10.1109/ccnc.2016.7444731","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ccnc.2016.7444731","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 13th IEEE Annual Consumer Communications &amp; Networking Conference (CCNC)","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/A5065825528","display_name":"Luis G. Jaimes","orcid":"https://orcid.org/0000-0003-4914-6740"},"institutions":[{"id":"https://openalex.org/I55356238","display_name":"Bethune-Cookman University","ror":"https://ror.org/04e0j1059","country_code":"US","type":"education","lineage":["https://openalex.org/I55356238"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Luis G. Jaimes","raw_affiliation_strings":["College of Science Engineering, and Mathematics, Bethune-Cookman University, Daytona-Beach, FL"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Science Engineering, and Mathematics, Bethune-Cookman University, Daytona-Beach, FL","institution_ids":["https://openalex.org/I55356238"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077102403","display_name":"Yueng de la Hoz","orcid":null},"institutions":[{"id":"https://openalex.org/I2613432","display_name":"University of South Florida","ror":"https://ror.org/032db5x82","country_code":"US","type":"education","lineage":["https://openalex.org/I2613432"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yueng De La Hoz","raw_affiliation_strings":["University of South Florida, Tampa, FL, US"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of South Florida, Tampa, FL, US","institution_ids":["https://openalex.org/I2613432"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069999931","display_name":"Christopher Eggert","orcid":null},"institutions":[{"id":"https://openalex.org/I2613432","display_name":"University of South Florida","ror":"https://ror.org/032db5x82","country_code":"US","type":"education","lineage":["https://openalex.org/I2613432"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Christopher Eggert","raw_affiliation_strings":["Department of Computer Science and Engineering, University of South Florida, Tampa, FL"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, University of South Florida, Tampa, FL","institution_ids":["https://openalex.org/I2613432"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5084576672","display_name":"Idalides Vergara-Laurens","orcid":"https://orcid.org/0000-0001-8592-6950"},"institutions":[{"id":"https://openalex.org/I85591668","display_name":"University of Turabo","ror":"https://ror.org/02smd3j38","country_code":"PR","type":"education","lineage":["https://openalex.org/I85591668"]}],"countries":["PR"],"is_corresponding":false,"raw_author_name":"Idalides J. Vergara-Laurens","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Universidad del Turabo, Gurabo, PR"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Universidad del Turabo, Gurabo, PR","institution_ids":["https://openalex.org/I85591668"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.6761,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.76270405,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"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":0.9994999766349792,"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":0.9994999766349792,"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/T12238","display_name":"Green IT and Sustainability","score":0.9991000294685364,"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/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9922999739646912,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7881119847297668},{"id":"https://openalex.org/keywords/decision-tree","display_name":"Decision tree","score":0.7149150371551514},{"id":"https://openalex.org/keywords/id3-algorithm","display_name":"ID3 algorithm","score":0.5296242833137512},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.4611760377883911},{"id":"https://openalex.org/keywords/decision-tree-learning","display_name":"Decision tree learning","score":0.44634199142456055},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.44572320580482483},{"id":"https://openalex.org/keywords/incremental-decision-tree","display_name":"Incremental decision tree","score":0.3708811402320862},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.36756622791290283},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09937873482704163}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7881119847297668},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.7149150371551514},{"id":"https://openalex.org/C183931066","wikidata":"https://www.wikidata.org/wiki/Q1653378","display_name":"ID3 algorithm","level":5,"score":0.5296242833137512},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.4611760377883911},{"id":"https://openalex.org/C5481197","wikidata":"https://www.wikidata.org/wiki/Q16766476","display_name":"Decision tree learning","level":3,"score":0.44634199142456055},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.44572320580482483},{"id":"https://openalex.org/C10229987","wikidata":"https://www.wikidata.org/wiki/Q17083028","display_name":"Incremental decision tree","level":4,"score":0.3708811402320862},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.36756622791290283},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09937873482704163},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ccnc.2016.7444731","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ccnc.2016.7444731","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 13th IEEE Annual Consumer Communications &amp; Networking Conference (CCNC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy","score":0.8700000047683716}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W1486950299","https://openalex.org/W1489581664","https://openalex.org/W1564678920","https://openalex.org/W1590183771","https://openalex.org/W1753658588","https://openalex.org/W2017709256","https://openalex.org/W2125055259","https://openalex.org/W2131147042","https://openalex.org/W2134751203","https://openalex.org/W2149708663","https://openalex.org/W2170265372","https://openalex.org/W6629087766","https://openalex.org/W6637880848"],"related_works":["https://openalex.org/W2389389014","https://openalex.org/W2062427277","https://openalex.org/W3202663598","https://openalex.org/W2383233190","https://openalex.org/W2367572412","https://openalex.org/W2368580699","https://openalex.org/W2353382314","https://openalex.org/W2105542228","https://openalex.org/W2565979531","https://openalex.org/W1539756391"],"abstract_inverted_index":{"Mobile":[0],"context":[1,7,48],"recognition":[2,49,84],"attempts":[3],"to":[4],"infer":[5],"the":[6,44,86],"of":[8,47,88],"a":[9,53,80,94,102],"mobile":[10],"phone":[11],"user.":[12],"Machine":[13],"learning":[14,57],"algorithms":[15],"exhibit":[16],"high":[17,103],"classification":[18,64,104],"accuracy":[19],"in":[20,79,93,97],"these":[21],"applications.":[22],"Most":[23],"approaches":[24],"are":[25],"very":[26],"power-inefficient":[27],"because":[28],"they":[29],"record":[30],"data":[31,69],"from":[32],"all":[33,36],"sensors":[34,40],"at":[35],"time.":[37],"Intelligently":[38],"cycling":[39],"could":[41],"greatly":[42],"improve":[43],"power":[45,74,98],"efficiency":[46],"services.":[50],"We":[51,76],"propose":[52],"decision":[54],"tree-based":[55],"machine":[56],"algorithm":[58,91],"which":[59],"optimizes":[60],"not":[61],"only":[62],"on":[63,68,73],"accuracy,":[65],"but":[66],"also":[67],"retrieval":[70],"costs":[71],"based":[72],"efficiency.":[75],"show":[77],"that":[78],"simple":[81],"physical":[82],"activity":[83],"application,":[85],"use":[87],"this":[89],"new":[90],"results":[92],"significant":[95],"decrease":[96],"consumption":[99],"while":[100],"maintaining":[101],"accuracy.":[105]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
