{"id":"https://openalex.org/W2811091682","doi":"https://doi.org/10.23919/mipro.2018.8400037","title":"Visualization of irregular datasets using kernel density estimation function","display_name":"Visualization of irregular datasets using kernel density estimation function","publication_year":2018,"publication_date":"2018-05-01","ids":{"openalex":"https://openalex.org/W2811091682","doi":"https://doi.org/10.23919/mipro.2018.8400037","mag":"2811091682"},"language":"en","primary_location":{"id":"doi:10.23919/mipro.2018.8400037","is_oa":false,"landing_page_url":"https://doi.org/10.23919/mipro.2018.8400037","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 41st International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO)","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/A5008815828","display_name":"Janusz Opi\u0142a","orcid":"https://orcid.org/0000-0003-1179-1920"},"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":"J. Opila","raw_affiliation_strings":["AGH University of Science and Technology, Cracow, Poland"],"affiliations":[{"raw_affiliation_string":"AGH University of Science and Technology, Cracow, Poland","institution_ids":["https://openalex.org/I686019"]}]},{"author_position":"last","author":{"id":null,"display_name":"T. Pelech-Pilichowski","orcid":null},"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":false,"raw_author_name":"T. Pelech-Pilichowski","raw_affiliation_strings":["AGH University of Science and Technology, Cracow, Poland"],"affiliations":[{"raw_affiliation_string":"AGH University of Science and Technology, Cracow, Poland","institution_ids":["https://openalex.org/I686019"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5008815828"],"corresponding_institution_ids":["https://openalex.org/I686019"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.09892353,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"0195","last_page":"0200"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.9900000095367432,"subfield":{"id":"https://openalex.org/subfields/1704","display_name":"Computer Graphics and Computer-Aided Design"},"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/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.9900000095367432,"subfield":{"id":"https://openalex.org/subfields/1704","display_name":"Computer Graphics and Computer-Aided Design"},"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/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9660000205039978,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12698","display_name":"3D Modeling in Geospatial Applications","score":0.9621999859809875,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"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/visualization","display_name":"Visualization","score":0.8649134635925293},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8072646856307983},{"id":"https://openalex.org/keywords/data-visualization","display_name":"Data visualization","score":0.6454420685768127},{"id":"https://openalex.org/keywords/kernel-density-estimation","display_name":"Kernel density estimation","score":0.6417896747589111},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.608336865901947},{"id":"https://openalex.org/keywords/rendering","display_name":"Rendering (computer graphics)","score":0.5825464725494385},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.555858850479126},{"id":"https://openalex.org/keywords/volume-rendering","display_name":"Volume rendering","score":0.5412222146987915},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.5232652425765991},{"id":"https://openalex.org/keywords/parallel-coordinates","display_name":"Parallel coordinates","score":0.5099815130233765},{"id":"https://openalex.org/keywords/visual-analytics","display_name":"Visual analytics","score":0.4272361695766449},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.38339507579803467},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11737281084060669}],"concepts":[{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.8649134635925293},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8072646856307983},{"id":"https://openalex.org/C172367668","wikidata":"https://www.wikidata.org/wiki/Q6504956","display_name":"Data visualization","level":3,"score":0.6454420685768127},{"id":"https://openalex.org/C71134354","wikidata":"https://www.wikidata.org/wiki/Q458825","display_name":"Kernel density estimation","level":3,"score":0.6417896747589111},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.608336865901947},{"id":"https://openalex.org/C205711294","wikidata":"https://www.wikidata.org/wiki/Q176953","display_name":"Rendering (computer graphics)","level":2,"score":0.5825464725494385},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.555858850479126},{"id":"https://openalex.org/C30769735","wikidata":"https://www.wikidata.org/wiki/Q2165951","display_name":"Volume rendering","level":3,"score":0.5412222146987915},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.5232652425765991},{"id":"https://openalex.org/C60011546","wikidata":"https://www.wikidata.org/wiki/Q932996","display_name":"Parallel coordinates","level":4,"score":0.5099815130233765},{"id":"https://openalex.org/C59732488","wikidata":"https://www.wikidata.org/wiki/Q2528440","display_name":"Visual analytics","level":3,"score":0.4272361695766449},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.38339507579803467},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11737281084060669},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.23919/mipro.2018.8400037","is_oa":false,"landing_page_url":"https://doi.org/10.23919/mipro.2018.8400037","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 41st International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W55912154","https://openalex.org/W1565650409","https://openalex.org/W1950508977","https://openalex.org/W1986149296","https://openalex.org/W2002146816","https://openalex.org/W2048092465","https://openalex.org/W2091800485","https://openalex.org/W2485753244","https://openalex.org/W2734758936","https://openalex.org/W4238717354","https://openalex.org/W6740674851"],"related_works":["https://openalex.org/W2951177137","https://openalex.org/W3149127250","https://openalex.org/W2158984754","https://openalex.org/W2080934634","https://openalex.org/W2061132865","https://openalex.org/W4246764483","https://openalex.org/W2081749267","https://openalex.org/W2770767919","https://openalex.org/W2112083262","https://openalex.org/W2116732611"],"abstract_inverted_index":{"Visualization":[0],"of":[1,8,25,53,98,104,110,117],"empirical":[2],"data":[3,28,37,83,87,90,99],"is":[4],"an":[5],"important":[6],"part":[7,97],"knowledge":[9],"acquirement":[10],"process.":[11],"Numerous":[12],"visualization":[13,26,91],"techniques":[14],"are":[15,78],"thus":[16],"employed":[17],"including":[18,72],"surface":[19],"and":[20,108],"volume":[21],"rendering.":[22],"Usually":[23],"algorithms":[24],"require":[27],"to":[29,49,61],"be":[30],"organized":[31],"in":[32],"a":[33],"regular":[34],"manner.":[35],"Unfortunately":[36],"accumulated":[38],"empirically":[39],"often":[40],"does":[41],"not":[42],"exhibit":[43],"any":[44],"internal":[45],"regularity":[46],"e.g.":[47],"due":[48],"varying":[50],"spatial":[51],"density":[52],"samples":[54],"resulting":[55],"from":[56],"natural":[57],"constraints.":[58],"In":[59,75],"order":[60],"cope":[62],"with":[63,82,114],"this":[64],"problem":[65],"several":[66],"preprocess":[67],"procedures":[68],"have":[69],"been":[70,121],"developed":[71],"distance-like":[73],"methods.":[74],"the":[76],"paper":[77],"discussed":[79],"problems":[80],"connected":[81],"preprocessing":[84],"for":[85],"visual":[86,106,111],"analysis,":[88],"hybrid":[89],"styles":[92,107],"using":[93],"advanced":[94],"texturing":[95],"as":[96],"presentation.":[100],"For":[101],"fast":[102],"prototyping":[103],"3D":[105],"computation":[109],"examples":[112],"POVRay":[113],"newest":[115],"version":[116],"ScPovPlot3D":[118],"toolkit":[119],"has":[120],"used.":[122]},"counts_by_year":[],"updated_date":"2026-03-25T23:56:10.502304","created_date":"2025-10-10T00:00:00"}