{"id":"https://openalex.org/W4413209165","doi":"https://doi.org/10.1145/3712255.3726648","title":"A Comparison of Dimensionality Reduction Techniques for Visualising Search Behaviour","display_name":"A Comparison of Dimensionality Reduction Techniques for Visualising Search Behaviour","publication_year":2025,"publication_date":"2025-07-14","ids":{"openalex":"https://openalex.org/W4413209165","doi":"https://doi.org/10.1145/3712255.3726648"},"language":"en","primary_location":{"id":"doi:10.1145/3712255.3726648","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3712255.3726648","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3712255.3726648?download=true","source":{"id":"https://openalex.org/S4363608771","display_name":"Proceedings of the Genetic and Evolutionary Computation Conference Companion","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Genetic and Evolutionary Computation Conference Companion","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3712255.3726648?download=true","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5036256685","display_name":"Helena Stegherr","orcid":"https://orcid.org/0000-0001-7871-7309"},"institutions":[{"id":"https://openalex.org/I179225836","display_name":"University of Augsburg","ror":"https://ror.org/03p14d497","country_code":"DE","type":"education","lineage":["https://openalex.org/I179225836"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Helena Stegherr","raw_affiliation_strings":["University of Augsburg, Augsburg, Germany"],"affiliations":[{"raw_affiliation_string":"University of Augsburg, Augsburg, Germany","institution_ids":["https://openalex.org/I179225836"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073060063","display_name":"Michael Heider","orcid":"https://orcid.org/0000-0003-3140-1993"},"institutions":[{"id":"https://openalex.org/I179225836","display_name":"University of Augsburg","ror":"https://ror.org/03p14d497","country_code":"DE","type":"education","lineage":["https://openalex.org/I179225836"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Michael Heider","raw_affiliation_strings":["University of Augsburg, Augsburg, Germany"],"affiliations":[{"raw_affiliation_string":"University of Augsburg, Augsburg, Germany","institution_ids":["https://openalex.org/I179225836"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031794653","display_name":"Jonathan Wurth","orcid":"https://orcid.org/0000-0002-5799-024X"},"institutions":[{"id":"https://openalex.org/I179225836","display_name":"University of Augsburg","ror":"https://ror.org/03p14d497","country_code":"DE","type":"education","lineage":["https://openalex.org/I179225836"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Jonathan Wurth","raw_affiliation_strings":["University of Augsburg, Augsburg, Germany"],"affiliations":[{"raw_affiliation_string":"University of Augsburg, Augsburg, Germany","institution_ids":["https://openalex.org/I179225836"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5035545860","display_name":"J\u00f6rg H\u00e4hner","orcid":"https://orcid.org/0000-0003-0107-264X"},"institutions":[{"id":"https://openalex.org/I179225836","display_name":"University of Augsburg","ror":"https://ror.org/03p14d497","country_code":"DE","type":"education","lineage":["https://openalex.org/I179225836"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"J\u00f6rg H\u00e4hner","raw_affiliation_strings":["University of Augsburg, Augsburg, Germany"],"affiliations":[{"raw_affiliation_string":"University of Augsburg, Augsburg, Germany","institution_ids":["https://openalex.org/I179225836"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5036256685"],"corresponding_institution_ids":["https://openalex.org/I179225836"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.36263736,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"171","last_page":"174"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10799","display_name":"Data Visualization and Analytics","score":0.9976999759674072,"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":0.9976999759674072,"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/T11439","display_name":"Video Analysis and Summarization","score":0.9623000025749207,"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/T11165","display_name":"Image and Video Quality Assessment","score":0.9426000118255615,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/dimensionality-reduction","display_name":"Dimensionality reduction","score":0.7575029730796814},{"id":"https://openalex.org/keywords/reduction","display_name":"Reduction (mathematics)","score":0.694924533367157},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6570058465003967},{"id":"https://openalex.org/keywords/curse-of-dimensionality","display_name":"Curse of dimensionality","score":0.4367412328720093},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.40111541748046875},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.16801995038986206}],"concepts":[{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.7575029730796814},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.694924533367157},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6570058465003967},{"id":"https://openalex.org/C111030470","wikidata":"https://www.wikidata.org/wiki/Q1430460","display_name":"Curse of dimensionality","level":2,"score":0.4367412328720093},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.40111541748046875},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.16801995038986206},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3712255.3726648","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3712255.3726648","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3712255.3726648?download=true","source":{"id":"https://openalex.org/S4363608771","display_name":"Proceedings of the Genetic and Evolutionary Computation Conference Companion","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Genetic and Evolutionary Computation Conference Companion","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3712255.3726648","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3712255.3726648","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3712255.3726648?download=true","source":{"id":"https://openalex.org/S4363608771","display_name":"Proceedings of the Genetic and Evolutionary Computation Conference Companion","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Genetic and Evolutionary Computation Conference Companion","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4291351128","display_name":null,"funder_award_id":"HA 5480/10-1","funder_id":"https://openalex.org/F4320320879","funder_display_name":"Deutsche Forschungsgemeinschaft"}],"funders":[{"id":"https://openalex.org/F4320320879","display_name":"Deutsche Forschungsgemeinschaft","ror":"https://ror.org/018mejw64"}],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4413209165.pdf"},"referenced_works_count":14,"referenced_works":["https://openalex.org/W2005103253","https://openalex.org/W2187089797","https://openalex.org/W2295124130","https://openalex.org/W2314046539","https://openalex.org/W2725171488","https://openalex.org/W2786672974","https://openalex.org/W2802686662","https://openalex.org/W2960802708","https://openalex.org/W3165355909","https://openalex.org/W4225531501","https://openalex.org/W4294811540","https://openalex.org/W4385214361","https://openalex.org/W4391900868","https://openalex.org/W4392978862"],"related_works":["https://openalex.org/W1995622179","https://openalex.org/W1484111231","https://openalex.org/W4391160746","https://openalex.org/W1552543208","https://openalex.org/W2074396517","https://openalex.org/W2166963679","https://openalex.org/W2187269125","https://openalex.org/W1641615907","https://openalex.org/W3089231081","https://openalex.org/W4411583871"],"abstract_inverted_index":{"When":[0],"comparing":[1],"different":[2],"metaheuristics,":[3],"the":[4,7,44,55,82,89,119],"behaviour":[5],"of":[6,34,47,60,84,91,100,112],"search":[8],"process":[9],"is":[10],"a":[11,110],"central":[12],"feature":[13],"towards":[14],"distinguishing":[15],"them":[16],"beyond":[17],"their":[18,136],"mere":[19],"metaphors.":[20],"However,":[21,142],"with":[22,139],"large-scale":[23],"studies,":[24],"i.e.":[25],"featuring":[26,98],"hundreds":[27],"or":[28],"more":[29],"configurations":[30,99],"on":[31,109],"large":[32],"sets":[33],"benchmark":[35,114],"functions,":[36],"which":[37],"are":[38,75],"important":[39,73],"to":[40,135],"assess":[41],"true":[42],"capabilities,":[43],"sheer":[45],"number":[46],"runs,":[48],"high-dimensional":[49],"data,":[50],"and":[51,105,128],"complex":[52],"presentations":[53],"make":[54],"traditionally":[56],"employed":[57],"visual":[58],"evaluation":[59],"behaviours":[61],"impossible.":[62],"To":[63],"remedy":[64],"this,":[65],"techniques":[66,87,122,147],"that":[67,118,129,145],"can":[68,131,148],"summarise":[69],"data":[70,120],"without":[71],"loosing":[72],"information":[74],"vital.":[76],"In":[77],"this":[78],"paper,":[79],"we":[80,143],"investigate":[81],"effectiveness":[83],"five":[85],"established":[86],"from":[88],"field":[90],"unsupervised":[92],"learning":[93],"in":[94],"an":[95],"example":[96],"study":[97],"random":[101],"search,":[102],"genetic":[103],"algorithms,":[104],"particle":[106],"swarm":[107],"optimisation":[108,113],"set":[111],"functions.":[115],"We":[116],"find":[117],"reduction":[121],"do":[123],"not":[124,132],"perform":[125],"equally":[126],"well":[127],"they":[130],"be":[133],"used":[134],"full":[137],"effect":[138],"default":[140],"parameters.":[141],"demonstrate":[144],"these":[146],"provide":[149],"valuable":[150],"insights":[151],"into":[152],"algorithmic":[153],"behaviour.":[154]},"counts_by_year":[],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}