{"id":"https://openalex.org/W2111925620","doi":"https://doi.org/10.1109/icassp.2011.5946934","title":"Detection of anomalous events from unlabeled sensor data in smart building environments","display_name":"Detection of anomalous events from unlabeled sensor data in smart building environments","publication_year":2011,"publication_date":"2011-05-01","ids":{"openalex":"https://openalex.org/W2111925620","doi":"https://doi.org/10.1109/icassp.2011.5946934","mag":"2111925620"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2011.5946934","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2011.5946934","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5070021336","display_name":"Padmini Jaikumar","orcid":"https://orcid.org/0009-0005-7923-8680"},"institutions":[{"id":"https://openalex.org/I219193219","display_name":"Purdue University West Lafayette","ror":"https://ror.org/02dqehb95","country_code":"US","type":"education","lineage":["https://openalex.org/I219193219"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Padmini Jaikumar","raw_affiliation_strings":["Department of Electrical & Computer Engineering, Purdue University, West Lafayette, IN, USA","Department of Electrical and Computer Engineering, Purdue University, West Lafayette, IN, 47906, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical & Computer Engineering, Purdue University, West Lafayette, IN, USA","institution_ids":["https://openalex.org/I219193219"]},{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Purdue University, West Lafayette, IN, 47906, USA","institution_ids":["https://openalex.org/I219193219"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040398042","display_name":"Aca Gacic","orcid":null},"institutions":[{"id":"https://openalex.org/I4210120115","display_name":"Robert Bosch (United States)","ror":"https://ror.org/02venad53","country_code":"US","type":"company","lineage":["https://openalex.org/I4210120115","https://openalex.org/I889804353"]},{"id":"https://openalex.org/I889804353","display_name":"Robert Bosch (Germany)","ror":"https://ror.org/01fe0jt45","country_code":"DE","type":"company","lineage":["https://openalex.org/I889804353"]}],"countries":["DE","US"],"is_corresponding":false,"raw_author_name":"Aca Gacic","raw_affiliation_strings":["Robert Bosch Limited Liability Company, Pittsburgh, PA, USA","Robert Bosch LLC Research and Technology Center, Pittsburgh, PA 15212, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Robert Bosch Limited Liability Company, Pittsburgh, PA, USA","institution_ids":["https://openalex.org/I4210120115"]},{"raw_affiliation_string":"Robert Bosch LLC Research and Technology Center, Pittsburgh, PA 15212, USA","institution_ids":["https://openalex.org/I889804353"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040827039","display_name":"Burton W. Andrews","orcid":null},"institutions":[{"id":"https://openalex.org/I1305429384","display_name":"JPMorgan Chase & Co (United States)","ror":"https://ror.org/01x3kkr08","country_code":"US","type":"company","lineage":["https://openalex.org/I1305429384"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Burton Andrews","raw_affiliation_strings":["JP Morgan Chase and Company, USA","[JPMorgan Chase & Co, USA]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"JP Morgan Chase and Company, USA","institution_ids":["https://openalex.org/I1305429384"]},{"raw_affiliation_string":"[JPMorgan Chase & Co, USA]","institution_ids":["https://openalex.org/I1305429384"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5008797950","display_name":"Michael Dambier","orcid":null},"institutions":[{"id":"https://openalex.org/I4210120115","display_name":"Robert Bosch (United States)","ror":"https://ror.org/02venad53","country_code":"US","type":"company","lineage":["https://openalex.org/I4210120115","https://openalex.org/I889804353"]},{"id":"https://openalex.org/I889804353","display_name":"Robert Bosch (Germany)","ror":"https://ror.org/01fe0jt45","country_code":"DE","type":"company","lineage":["https://openalex.org/I889804353"]}],"countries":["DE","US"],"is_corresponding":false,"raw_author_name":"Michael Dambier","raw_affiliation_strings":["Robert Bosch Limited Liability Company, Pittsburgh, PA, USA","Robert Bosch LLC Research and Technology Center, Pittsburgh, PA 15212, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Robert Bosch Limited Liability Company, Pittsburgh, PA, USA","institution_ids":["https://openalex.org/I4210120115"]},{"raw_affiliation_string":"Robert Bosch LLC Research and Technology Center, Pittsburgh, PA 15212, USA","institution_ids":["https://openalex.org/I889804353"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.2698,"has_fulltext":false,"cited_by_count":15,"citation_normalized_percentile":{"value":0.51582278,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"2268","last_page":"2271"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":1.0,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":1.0,"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":0.9980000257492065,"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/T11667","display_name":"Advanced Chemical Sensor Technologies","score":0.9868999719619751,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.8054726123809814},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7094517946243286},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6925792098045349},{"id":"https://openalex.org/keywords/weighting","display_name":"Weighting","score":0.6263770461082458},{"id":"https://openalex.org/keywords/dimensionality-reduction","display_name":"Dimensionality reduction","score":0.6254662275314331},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6215417981147766},{"id":"https://openalex.org/keywords/constant-false-alarm-rate","display_name":"Constant false alarm rate","score":0.5199729204177856},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.5006945133209229},{"id":"https://openalex.org/keywords/modal","display_name":"Modal","score":0.49108314514160156},{"id":"https://openalex.org/keywords/false-alarm","display_name":"False alarm","score":0.4590413272380829},{"id":"https://openalex.org/keywords/gaussian-process","display_name":"Gaussian process","score":0.4241065979003906},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.36922135949134827}],"concepts":[{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.8054726123809814},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7094517946243286},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6925792098045349},{"id":"https://openalex.org/C183115368","wikidata":"https://www.wikidata.org/wiki/Q856577","display_name":"Weighting","level":2,"score":0.6263770461082458},{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.6254662275314331},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6215417981147766},{"id":"https://openalex.org/C77052588","wikidata":"https://www.wikidata.org/wiki/Q644307","display_name":"Constant false alarm rate","level":2,"score":0.5199729204177856},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.5006945133209229},{"id":"https://openalex.org/C71139939","wikidata":"https://www.wikidata.org/wiki/Q910194","display_name":"Modal","level":2,"score":0.49108314514160156},{"id":"https://openalex.org/C2776836416","wikidata":"https://www.wikidata.org/wiki/Q1364844","display_name":"False alarm","level":2,"score":0.4590413272380829},{"id":"https://openalex.org/C61326573","wikidata":"https://www.wikidata.org/wiki/Q1496376","display_name":"Gaussian process","level":3,"score":0.4241065979003906},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.36922135949134827},{"id":"https://openalex.org/C188027245","wikidata":"https://www.wikidata.org/wiki/Q750446","display_name":"Polymer chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp.2011.5946934","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2011.5946934","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.7599999904632568}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W159748277","https://openalex.org/W1536815585","https://openalex.org/W2015096912","https://openalex.org/W2026895797","https://openalex.org/W2060542593","https://openalex.org/W2122646361","https://openalex.org/W2425246132","https://openalex.org/W4247625201","https://openalex.org/W6606535463"],"related_works":["https://openalex.org/W2965546495","https://openalex.org/W4389116644","https://openalex.org/W2153315159","https://openalex.org/W2120164251","https://openalex.org/W1983393909","https://openalex.org/W2040150569","https://openalex.org/W2468095590","https://openalex.org/W2132174924","https://openalex.org/W1911540634","https://openalex.org/W2013909972"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"a":[3,28,75],"robust":[4],"unsupervised":[5],"learning":[6],"approach":[7,52],"for":[8],"detection":[9],"of":[10,14,48,65,77],"anomalies":[11],"in":[12,50,74,84,102],"patterns":[13],"human":[15],"behavior":[16],"using":[17,27,56,113],"multi-modal":[18,90],"smart":[19,94],"environment":[20],"sensor":[21,91],"data.":[22],"We":[23],"model":[24],"the":[25,33,57],"data":[26,92],"Gaussian":[29,115],"Mixture":[30],"Model,":[31],"where":[32],"features":[34,67],"are":[35,43],"weighted":[36],"based":[37],"on":[38],"their":[39],"discriminative":[40],"ability":[41],"and":[42],"simultaneously":[44],"clustered.":[45],"The":[46,63],"number":[47],"clusters":[49],"this":[51],"is":[53,68],"automatically":[54],"chosen":[55],"Minimum":[58],"Message":[59],"Length":[60],"(MML)":[61],"criterion.":[62],"weight":[64],"non-discriminative":[66],"driven":[69],"towards":[70],"zero":[71],"which":[72],"results":[73,81],"form":[76],"dimensionality":[78],"reduction.":[79],"Our":[80],"indicate":[82],"that,":[83],"practical":[85],"applications":[86],"involving":[87],"unlabeled,":[88],"high-dimensional":[89],"from":[93],"building":[95],"environments,":[96],"feature":[97],"weighting":[98],"achieves":[99],"higher":[100],"accuracy":[101],"detecting":[103],"anomalous":[104],"events":[105],"with":[106],"lower":[107],"false":[108],"alarm":[109],"rates":[110],"compared":[111],"to":[112],"traditional":[114],"Mixtures.":[116]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
