{"id":"https://openalex.org/W2580194665","doi":"https://doi.org/10.1177/1473871616686634","title":"The perspective-based observational tunnels method: A new method of multidimensional data visualization","display_name":"The perspective-based observational tunnels method: A new method of multidimensional data visualization","publication_year":2017,"publication_date":"2017-01-24","ids":{"openalex":"https://openalex.org/W2580194665","doi":"https://doi.org/10.1177/1473871616686634","mag":"2580194665"},"language":"en","primary_location":{"id":"doi:10.1177/1473871616686634","is_oa":false,"landing_page_url":"https://doi.org/10.1177/1473871616686634","pdf_url":null,"source":{"id":"https://openalex.org/S55152591","display_name":"Information Visualization","issn_l":"1473-8716","issn":["1473-8716","1473-8724"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320017","host_organization_name":"SAGE Publishing","host_organization_lineage":["https://openalex.org/P4310320017"],"host_organization_lineage_names":["SAGE Publishing"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Information Visualization","raw_type":"journal-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/A5002713172","display_name":"Dariusz Jamr\u00f3z","orcid":"https://orcid.org/0000-0002-8126-3595"},"institutions":[{"id":"https://openalex.org/I686019","display_name":"AGH University of Krakow","ror":"https://ror.org/00bas1c41","country_code":"PL","type":"education","lineage":["https://openalex.org/I686019"]}],"countries":["PL"],"is_corresponding":true,"raw_author_name":"Dariusz Jamroz","raw_affiliation_strings":["Department of Applied Computer Science, AGH University of Science and Technology, Krakow, Poland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Applied Computer Science, AGH University of Science and Technology, Krakow, Poland","institution_ids":["https://openalex.org/I686019"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5002713172"],"corresponding_institution_ids":["https://openalex.org/I686019"],"apc_list":null,"apc_paid":null,"fwci":1.6645,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.87658334,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"16","issue":"4","first_page":"346","last_page":"360"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.9743000268936157,"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/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.9743000268936157,"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/T14470","display_name":"Advanced Data Processing Techniques","score":0.9700999855995178,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/T12157","display_name":"Geochemistry and Geologic Mapping","score":0.9638000130653381,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.808303952217102},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7562443614006042},{"id":"https://openalex.org/keywords/multidimensional-scaling","display_name":"Multidimensional scaling","score":0.7377499341964722},{"id":"https://openalex.org/keywords/observational-study","display_name":"Observational study","score":0.6925694942474365},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.6347737312316895},{"id":"https://openalex.org/keywords/perspective","display_name":"Perspective (graphical)","score":0.5727925300598145},{"id":"https://openalex.org/keywords/data-visualization","display_name":"Data visualization","score":0.49175170063972473},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.47009536623954773},{"id":"https://openalex.org/keywords/principal-component-analysis","display_name":"Principal component analysis","score":0.4667418599128723},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.4641360640525818},{"id":"https://openalex.org/keywords/projection","display_name":"Projection (relational algebra)","score":0.43429869413375854},{"id":"https://openalex.org/keywords/information-visualization","display_name":"Information visualization","score":0.4146275520324707},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.38398098945617676},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.37972763180732727},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.349276065826416},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.27309364080429077},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.18473950028419495},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.1442340612411499},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1406356394290924}],"concepts":[{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.808303952217102},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7562443614006042},{"id":"https://openalex.org/C91682802","wikidata":"https://www.wikidata.org/wiki/Q620538","display_name":"Multidimensional scaling","level":2,"score":0.7377499341964722},{"id":"https://openalex.org/C23131810","wikidata":"https://www.wikidata.org/wiki/Q818574","display_name":"Observational study","level":2,"score":0.6925694942474365},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.6347737312316895},{"id":"https://openalex.org/C12713177","wikidata":"https://www.wikidata.org/wiki/Q1900281","display_name":"Perspective (graphical)","level":2,"score":0.5727925300598145},{"id":"https://openalex.org/C172367668","wikidata":"https://www.wikidata.org/wiki/Q6504956","display_name":"Data visualization","level":3,"score":0.49175170063972473},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.47009536623954773},{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.4667418599128723},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.4641360640525818},{"id":"https://openalex.org/C57493831","wikidata":"https://www.wikidata.org/wiki/Q3134666","display_name":"Projection (relational algebra)","level":2,"score":0.43429869413375854},{"id":"https://openalex.org/C185578843","wikidata":"https://www.wikidata.org/wiki/Q10609775","display_name":"Information visualization","level":3,"score":0.4146275520324707},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.38398098945617676},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.37972763180732727},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.349276065826416},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.27309364080429077},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.18473950028419495},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.1442340612411499},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1406356394290924},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1177/1473871616686634","is_oa":false,"landing_page_url":"https://doi.org/10.1177/1473871616686634","pdf_url":null,"source":{"id":"https://openalex.org/S55152591","display_name":"Information Visualization","issn_l":"1473-8716","issn":["1473-8716","1473-8724"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320017","host_organization_name":"SAGE Publishing","host_organization_lineage":["https://openalex.org/P4310320017"],"host_organization_lineage_names":["SAGE Publishing"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Information Visualization","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W65738273","https://openalex.org/W188162800","https://openalex.org/W599962843","https://openalex.org/W1527188179","https://openalex.org/W1978373462","https://openalex.org/W1983088605","https://openalex.org/W1984096507","https://openalex.org/W1991848143","https://openalex.org/W1992253603","https://openalex.org/W1995695181","https://openalex.org/W2003516238","https://openalex.org/W2005911120","https://openalex.org/W2006728443","https://openalex.org/W2047046780","https://openalex.org/W2071128523","https://openalex.org/W2085045990","https://openalex.org/W2152825437","https://openalex.org/W2156771765","https://openalex.org/W2294798173","https://openalex.org/W2303861878","https://openalex.org/W2397663398","https://openalex.org/W2585550685","https://openalex.org/W4250857377","https://openalex.org/W4253133244"],"related_works":["https://openalex.org/W2314854132","https://openalex.org/W4220686159","https://openalex.org/W2106297084","https://openalex.org/W3010975807","https://openalex.org/W2027333138","https://openalex.org/W3185027765","https://openalex.org/W2096373083","https://openalex.org/W2105200106","https://openalex.org/W2151530263","https://openalex.org/W1574055964"],"abstract_inverted_index":{"The":[0,28,61,77,106,185],"article":[1,143],"describes":[2],"a":[3,145],"new":[4,81],"unique":[5],"method":[6,36,68,73,83,114,227],"of":[7,40,46,65,79,92,125,147,150,172,193,215],"multidimensional":[8,41,56,93,104,194],"data":[9,42,94,127,152,195,211],"visualization.":[10],"It":[11],"has":[12,84],"been":[13,75,85],"developed":[14],"as":[15],"modified":[16],"observational":[17,34,66,71,112,202],"tunnels":[18,35,67,72,113,203],"method,":[19],"which":[20,159],"was":[21,197,207,219],"previously":[22,186],"known":[23],"and":[24,53,69,103],"used":[25,37],"many":[26],"times.":[27],"modification":[29],"consists":[30],"in":[31,55,63,176,222],"supplementing":[32],"the":[33,44,51,80,110,148,155,161,166,170,181,200,225,229],"for":[38,133,169,180],"visualization":[39,82,196,235],"with":[43,87,199],"concept":[45],"perspective.":[47],"In":[48],"this":[49,177,223],"way,":[50],"orientation":[52],"navigation":[54],"space":[57],"are":[58,136],"largely":[59],"facilitated.":[60],"differences":[62],"effects":[64],"perspective-based":[70,111,201],"have":[74],"presented.":[76],"effectiveness":[78],"compared":[86],"selected":[88,132],"four":[89],"well-known":[90],"methods":[91,131,192],"visualization:":[95],"parallel":[96],"coordinates,":[97],"orthogonal":[98],"projection,":[99],"principal":[100],"component":[101],"analysis,":[102],"scaling.":[105],"research":[107],"revealed":[108],"that":[109,165],"sometimes":[115],"makes":[116],"it":[117,218],"possible":[118],"to":[119,139,163],"obtain":[120],"information":[121],"about":[122],"significant":[123],"features":[124,167,174],"analyzed":[126],"even":[128],"when":[129],"other":[130,233],"comparative":[134],"studies":[135],"not":[137],"able":[138],"show":[140],"it.":[141],"This":[142,205],"includes":[144],"presentation":[146],"views":[149],"5-dimensional":[151],"obtained":[153],"from":[154],"print":[156],"recognition":[157,183],"process,":[158],"allowed":[160],"author":[162],"state":[164],"chosen":[168],"development":[171],"spatial":[173],"are,":[175],"case,":[178,224],"sufficient":[179],"correct":[182],"process.":[184],"published":[187],"ranking":[188,206],"presenting":[189],"seven":[190],"different":[191,213],"supplemented":[198],"method.":[204],"conducted":[208],"using":[209],"7-dimensional":[210],"describing":[212],"types":[214],"coal.":[216],"Thus,":[217],"shown":[220],"that,":[221],"presented":[226],"constitutes":[228],"efficient":[230],"tool":[231],"among":[232],"qualitative":[234],"analysis":[236],"methods.":[237]},"counts_by_year":[{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":1}],"updated_date":"2026-05-04T06:00:05.808912","created_date":"2025-10-10T00:00:00"}
