{"id":"https://openalex.org/W4394000196","doi":"https://doi.org/10.1145/3640543.3645177","title":"Using Machine Learning to Improve Interactive Visualizations for Large Collected Traffic Detector Data","display_name":"Using Machine Learning to Improve Interactive Visualizations for Large Collected Traffic Detector Data","publication_year":2024,"publication_date":"2024-03-18","ids":{"openalex":"https://openalex.org/W4394000196","doi":"https://doi.org/10.1145/3640543.3645177"},"language":"en","primary_location":{"id":"doi:10.1145/3640543.3645177","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3640543.3645177","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3640543.3645177","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 29th International Conference on Intelligent User Interfaces","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3640543.3645177","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5073724209","display_name":"Rifat Mehreen Amin","orcid":"https://orcid.org/0000-0003-4279-7778"},"institutions":[{"id":"https://openalex.org/I3018771216","display_name":"LMU Klinikum","ror":"https://ror.org/02jet3w32","country_code":"DE","type":"healthcare","lineage":["https://openalex.org/I3018771216","https://openalex.org/I8204097"]},{"id":"https://openalex.org/I8204097","display_name":"Ludwig-Maximilians-Universit\u00e4t M\u00fcnchen","ror":"https://ror.org/05591te55","country_code":"DE","type":"education","lineage":["https://openalex.org/I8204097"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Rifat Mehreen Amin","raw_affiliation_strings":["LMU Munich, Germany"],"raw_orcid":"https://orcid.org/0000-0003-4279-7778","affiliations":[{"raw_affiliation_string":"LMU Munich, Germany","institution_ids":["https://openalex.org/I3018771216","https://openalex.org/I8204097"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016204895","display_name":"P. L. Hammer","orcid":"https://orcid.org/0009-0000-9529-9209"},"institutions":[{"id":"https://openalex.org/I3018771216","display_name":"LMU Klinikum","ror":"https://ror.org/02jet3w32","country_code":"DE","type":"healthcare","lineage":["https://openalex.org/I3018771216","https://openalex.org/I8204097"]},{"id":"https://openalex.org/I8204097","display_name":"Ludwig-Maximilians-Universit\u00e4t M\u00fcnchen","ror":"https://ror.org/05591te55","country_code":"DE","type":"education","lineage":["https://openalex.org/I8204097"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Pia Hammer","raw_affiliation_strings":["LMU Munich, Germany"],"raw_orcid":"https://orcid.org/0009-0000-9529-9209","affiliations":[{"raw_affiliation_string":"LMU Munich, Germany","institution_ids":["https://openalex.org/I3018771216","https://openalex.org/I8204097"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5063555642","display_name":"Andreas Butz","orcid":"https://orcid.org/0000-0002-9007-9888"},"institutions":[{"id":"https://openalex.org/I3018771216","display_name":"LMU Klinikum","ror":"https://ror.org/02jet3w32","country_code":"DE","type":"healthcare","lineage":["https://openalex.org/I3018771216","https://openalex.org/I8204097"]},{"id":"https://openalex.org/I8204097","display_name":"Ludwig-Maximilians-Universit\u00e4t M\u00fcnchen","ror":"https://ror.org/05591te55","country_code":"DE","type":"education","lineage":["https://openalex.org/I8204097"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Andreas Butz","raw_affiliation_strings":["LMU Munich, Germany"],"raw_orcid":"https://orcid.org/0000-0002-9007-9888","affiliations":[{"raw_affiliation_string":"LMU Munich, Germany","institution_ids":["https://openalex.org/I3018771216","https://openalex.org/I8204097"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5073724209"],"corresponding_institution_ids":["https://openalex.org/I3018771216","https://openalex.org/I8204097"],"apc_list":null,"apc_paid":null,"fwci":0.9523,"has_fulltext":true,"cited_by_count":4,"citation_normalized_percentile":{"value":0.74508057,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"803","last_page":"816"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10799","display_name":"Data Visualization and Analytics","score":0.9995999932289124,"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/T10799","display_name":"Data Visualization and Analytics","score":0.9995999932289124,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9925000071525574,"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":0.989300012588501,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8025916814804077},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.7816686630249023},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6248648762702942},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.6187705397605896},{"id":"https://openalex.org/keywords/interactive-visualization","display_name":"Interactive visualization","score":0.561712384223938},{"id":"https://openalex.org/keywords/data-visualization","display_name":"Data visualization","score":0.5303167700767517},{"id":"https://openalex.org/keywords/rendering","display_name":"Rendering (computer graphics)","score":0.5218371748924255},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5095720291137695},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.4816950261592865},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.4766843318939209},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.46550872921943665},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4524648189544678},{"id":"https://openalex.org/keywords/interactive-visual-analysis","display_name":"Interactive visual analysis","score":0.44816023111343384},{"id":"https://openalex.org/keywords/dimensionality-reduction","display_name":"Dimensionality reduction","score":0.44648176431655884},{"id":"https://openalex.org/keywords/visual-analytics","display_name":"Visual analytics","score":0.4413934051990509},{"id":"https://openalex.org/keywords/software","display_name":"Software","score":0.4295191168785095},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.33226364850997925}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8025916814804077},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.7816686630249023},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6248648762702942},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.6187705397605896},{"id":"https://openalex.org/C64073096","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Interactive visualization","level":3,"score":0.561712384223938},{"id":"https://openalex.org/C172367668","wikidata":"https://www.wikidata.org/wiki/Q6504956","display_name":"Data visualization","level":3,"score":0.5303167700767517},{"id":"https://openalex.org/C205711294","wikidata":"https://www.wikidata.org/wiki/Q176953","display_name":"Rendering (computer graphics)","level":2,"score":0.5218371748924255},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5095720291137695},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.4816950261592865},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.4766843318939209},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.46550872921943665},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4524648189544678},{"id":"https://openalex.org/C99740376","wikidata":"https://www.wikidata.org/wiki/Q17092520","display_name":"Interactive visual analysis","level":4,"score":0.44816023111343384},{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.44648176431655884},{"id":"https://openalex.org/C59732488","wikidata":"https://www.wikidata.org/wiki/Q2528440","display_name":"Visual analytics","level":3,"score":0.4413934051990509},{"id":"https://openalex.org/C2777904410","wikidata":"https://www.wikidata.org/wiki/Q7397","display_name":"Software","level":2,"score":0.4295191168785095},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.33226364850997925},{"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/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"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:10.1145/3640543.3645177","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3640543.3645177","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3640543.3645177","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 29th International Conference on Intelligent User Interfaces","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3640543.3645177","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3640543.3645177","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3640543.3645177","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 29th International Conference on Intelligent User Interfaces","raw_type":"proceedings-article"},"sustainable_development_goals":[{"score":0.7099999785423279,"display_name":"Climate action","id":"https://metadata.un.org/sdg/13"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320335337","display_name":"Elitenetzwerk Bayern","ror":null}],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4394000196.pdf"},"referenced_works_count":35,"referenced_works":["https://openalex.org/W1545766451","https://openalex.org/W1967952393","https://openalex.org/W2118411523","https://openalex.org/W2137010928","https://openalex.org/W2138199375","https://openalex.org/W2147512934","https://openalex.org/W2176149189","https://openalex.org/W2186690847","https://openalex.org/W2278186031","https://openalex.org/W2282861635","https://openalex.org/W2323909273","https://openalex.org/W2551502590","https://openalex.org/W2600859289","https://openalex.org/W2756096625","https://openalex.org/W2791146049","https://openalex.org/W2815307792","https://openalex.org/W2897166206","https://openalex.org/W2915435320","https://openalex.org/W2925304665","https://openalex.org/W2971624397","https://openalex.org/W3014839920","https://openalex.org/W3089483712","https://openalex.org/W3107297113","https://openalex.org/W3134989920","https://openalex.org/W3196691156","https://openalex.org/W4207068864","https://openalex.org/W4254182148","https://openalex.org/W4285276944","https://openalex.org/W4288057688","https://openalex.org/W4297459897","https://openalex.org/W4321018295","https://openalex.org/W4361745950","https://openalex.org/W4362565765","https://openalex.org/W4378965619","https://openalex.org/W4391301977"],"related_works":["https://openalex.org/W2564956852","https://openalex.org/W3001728174","https://openalex.org/W4234837714","https://openalex.org/W2914351970","https://openalex.org/W3149127250","https://openalex.org/W2158984754","https://openalex.org/W2143428259","https://openalex.org/W4246764483","https://openalex.org/W2116732611","https://openalex.org/W2007038549"],"abstract_inverted_index":{"In":[0],"traffic":[1,104,112,135],"engineering,":[2],"cities":[3],"rely":[4],"on":[5],"large":[6],"detector":[7,67],"datasets":[8,16],"to":[9,48,54,100,130,141],"manage":[10],"traffic.":[11],"Visualizing":[12],"these":[13,86],"big,":[14],"multi-dimensional":[15],"poses":[17],"challenges":[18],"such":[19],"as":[20],"overplotting":[21],"and":[22,45,61,115,137],"dimension":[23],"reduction,":[24],"often":[25],"rendering":[26],"traditional":[27],"visualization":[28,53,123],"techniques":[29],"inadequate.":[30],"To":[31],"address":[32],"this,":[33],"we":[34],"added":[35],"two":[36],"machine":[37],"learning":[38],"(ML)":[39],"algorithms":[40,80],"(Local":[41],"Outlier":[42],"Factor":[43],"algorithm":[44],"K-Prototypes":[46],"clustering)":[47],"an":[49,65],"interactive":[50,87],"time":[51],"series":[52],"improve":[55],"exploration":[56,84],"by":[57],"both":[58],"domain":[59,94],"experts":[60],"non-experts.":[62],"We":[63],"used":[64],"original":[66],"dataset":[68,122],"of":[69,103],"a":[70,109],"mid-sized":[71],"German":[72],"city.":[73],"Our":[74],"findings":[75],"reveal":[76],"that":[77],"the":[78,101,139],"ML":[79],"greatly":[81],"enhanced":[82],"data":[83,105],"in":[85,124],"visualizations,":[88],"particularly":[89],"for":[90,111],"users":[91],"with":[92],"limited":[93],"knowledge.":[95],"This":[96],"research":[97],"directly":[98],"contributes":[99],"design":[102],"analysis":[106],"tools,":[107],"offering":[108],"foundation":[110],"detection":[113],"hardware":[114],"software":[116],"improvements":[117],"but":[118],"also":[119],"advancing":[120],"complex":[121],"general.":[125],"It":[126],"will":[127],"ultimately":[128],"lead":[129],"more":[131],"informed":[132],"decisions,":[133],"improved":[134],"management,":[136],"has":[138],"potential":[140],"reduce":[142],"air":[143],"pollutants,":[144],"thus":[145],"counteracting":[146],"climate":[147],"change.":[148]},"counts_by_year":[{"year":2025,"cited_by_count":4}],"updated_date":"2026-01-24T23:23:39.755997","created_date":"2025-10-10T00:00:00"}