{"id":"https://openalex.org/W2116436990","doi":"https://doi.org/10.1145/2638728.2641310","title":"Improving activity recognition via automatic decision tree pruning","display_name":"Improving activity recognition via automatic decision tree pruning","publication_year":2014,"publication_date":"2014-09-13","ids":{"openalex":"https://openalex.org/W2116436990","doi":"https://doi.org/10.1145/2638728.2641310","mag":"2116436990"},"language":"en","primary_location":{"id":"doi:10.1145/2638728.2641310","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2638728.2641310","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct Publication","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/A5113481947","display_name":"Thomas Phan","orcid":null},"institutions":[{"id":"https://openalex.org/I4210101778","display_name":"Samsung (United States)","ror":"https://ror.org/01bfbvm65","country_code":"US","type":"company","lineage":["https://openalex.org/I2250650973","https://openalex.org/I4210101778"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Thomas Phan","raw_affiliation_strings":["Samsung Research America - Silicon Valley, San Jose, CA","Samsung Research America -- Silicon Valley, San Jose, CA#TAB#"],"affiliations":[{"raw_affiliation_string":"Samsung Research America - Silicon Valley, San Jose, CA","institution_ids":["https://openalex.org/I4210101778"]},{"raw_affiliation_string":"Samsung Research America -- Silicon Valley, San Jose, CA#TAB#","institution_ids":["https://openalex.org/I4210101778"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5113481947"],"corresponding_institution_ids":["https://openalex.org/I4210101778"],"apc_list":null,"apc_paid":null,"fwci":2.4387,"has_fulltext":false,"cited_by_count":29,"citation_normalized_percentile":{"value":0.91609199,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"827","last_page":"832"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.9998999834060669,"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":0.9998999834060669,"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/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9966999888420105,"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"}},{"id":"https://openalex.org/T11800","display_name":"User Authentication and Security Systems","score":0.9905999898910522,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/pruning","display_name":"Pruning","score":0.8551620841026306},{"id":"https://openalex.org/keywords/spurious-relationship","display_name":"Spurious relationship","score":0.8078186511993408},{"id":"https://openalex.org/keywords/decision-tree","display_name":"Decision tree","score":0.8017826080322266},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7915771007537842},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6534765958786011},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.613073468208313},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.5586428046226501},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.509035050868988},{"id":"https://openalex.org/keywords/decision-tree-learning","display_name":"Decision tree learning","score":0.4375416040420532},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4328910708427429},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.42831605672836304},{"id":"https://openalex.org/keywords/incremental-decision-tree","display_name":"Incremental decision tree","score":0.41849082708358765},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.07524722814559937}],"concepts":[{"id":"https://openalex.org/C108010975","wikidata":"https://www.wikidata.org/wiki/Q500094","display_name":"Pruning","level":2,"score":0.8551620841026306},{"id":"https://openalex.org/C97256817","wikidata":"https://www.wikidata.org/wiki/Q1462316","display_name":"Spurious relationship","level":2,"score":0.8078186511993408},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.8017826080322266},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7915771007537842},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6534765958786011},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.613073468208313},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.5586428046226501},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.509035050868988},{"id":"https://openalex.org/C5481197","wikidata":"https://www.wikidata.org/wiki/Q16766476","display_name":"Decision tree learning","level":3,"score":0.4375416040420532},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4328910708427429},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.42831605672836304},{"id":"https://openalex.org/C10229987","wikidata":"https://www.wikidata.org/wiki/Q17083028","display_name":"Incremental decision tree","level":4,"score":0.41849082708358765},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.07524722814559937},{"id":"https://openalex.org/C6557445","wikidata":"https://www.wikidata.org/wiki/Q173113","display_name":"Agronomy","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2638728.2641310","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2638728.2641310","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct Publication","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7699999809265137,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W1504694836","https://openalex.org/W1527439439","https://openalex.org/W1897824230","https://openalex.org/W2017634428","https://openalex.org/W2023302299","https://openalex.org/W2105046342","https://openalex.org/W2108328714","https://openalex.org/W2125055259","https://openalex.org/W2131147042"],"related_works":["https://openalex.org/W1982169401","https://openalex.org/W2591672004","https://openalex.org/W2030894524","https://openalex.org/W1648970942","https://openalex.org/W4243803609","https://openalex.org/W4319437832","https://openalex.org/W4387869645","https://openalex.org/W2348694184","https://openalex.org/W957478802","https://openalex.org/W2356463514"],"abstract_inverted_index":{"Activity":[0],"recognition":[1],"enables":[2],"many":[3],"user-facing":[4],"smartphone":[5],"applications,":[6],"but":[7],"it":[8],"may":[9],"suffer":[10],"from":[11],"misclassifications":[12],"when":[13],"trained":[14],"models":[15],"attempt":[16],"to":[17,40,45],"classify":[18],"previously-unseen":[19],"real-world":[20],"behavior.":[21],"Our":[22],"system":[23],"mitigates":[24],"this":[25],"problem":[26],"by":[27],"first":[28],"identifying":[29],"spurious":[30],"classifications":[31],"and":[32],"then":[33],"automatically":[34],"pruning":[35],"a":[36,51],"decision":[37],"tree":[38],"model":[39],"remove":[41],"labels":[42],"that":[43],"tend":[44],"produce":[46],"wrong":[47],"inferences,":[48],"resulting":[49],"in":[50],"10%":[52],"classification":[53],"improvement":[54],"based":[55],"on":[56],"our":[57],"data":[58],"set.":[59]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":5},{"year":2015,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
