{"id":"https://openalex.org/W2994860332","doi":"https://doi.org/10.1109/stc-csit.2019.8929798","title":"Using piecewise hyper linear classification in multidimensional feature space for text content","display_name":"Using piecewise hyper linear classification in multidimensional feature space for text content","publication_year":2019,"publication_date":"2019-09-01","ids":{"openalex":"https://openalex.org/W2994860332","doi":"https://doi.org/10.1109/stc-csit.2019.8929798","mag":"2994860332"},"language":"en","primary_location":{"id":"doi:10.1109/stc-csit.2019.8929798","is_oa":false,"landing_page_url":"https://doi.org/10.1109/stc-csit.2019.8929798","pdf_url":null,"source":{"id":"https://openalex.org/S4306498473","display_name":"2019 IEEE 14th International Conference on Computer Sciences and Information Technologies (CSIT)","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":"2019 IEEE 14th International Conference on Computer Sciences and Information Technologies (CSIT)","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/A5057182685","display_name":"Olexander Barmak","orcid":"https://orcid.org/0000-0003-0739-9678"},"institutions":[{"id":"https://openalex.org/I164756455","display_name":"Khmelnytskyi National University","ror":"https://ror.org/04r8a1r80","country_code":"UA","type":"education","lineage":["https://openalex.org/I164756455"]}],"countries":["UA"],"is_corresponding":true,"raw_author_name":"Olexander Barmak","raw_affiliation_strings":["Dept. of CS and IT National University of Khmelnytskyi, Khmelnytskyi, Ukraine"],"affiliations":[{"raw_affiliation_string":"Dept. of CS and IT National University of Khmelnytskyi, Khmelnytskyi, Ukraine","institution_ids":["https://openalex.org/I164756455"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033446302","display_name":"Eduard Manziuk","orcid":"https://orcid.org/0000-0002-7310-2126"},"institutions":[{"id":"https://openalex.org/I164756455","display_name":"Khmelnytskyi National University","ror":"https://ror.org/04r8a1r80","country_code":"UA","type":"education","lineage":["https://openalex.org/I164756455"]}],"countries":["UA"],"is_corresponding":false,"raw_author_name":"Eduard Manziuk","raw_affiliation_strings":["Dept. of CS and IT National University of Khmelnytskyi, Khmelnytskyi, Ukraine"],"affiliations":[{"raw_affiliation_string":"Dept. of CS and IT National University of Khmelnytskyi, Khmelnytskyi, Ukraine","institution_ids":["https://openalex.org/I164756455"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5000942164","display_name":"\u042e\u0440\u0438\u0439 \u041a\u0440\u0430\u043a","orcid":"https://orcid.org/0000-0002-8043-0785"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Iurii Krak","raw_affiliation_strings":["National University of Kyiv, Kyiv, Ukraine"],"affiliations":[{"raw_affiliation_string":"National University of Kyiv, Kyiv, Ukraine","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5057182685"],"corresponding_institution_ids":["https://openalex.org/I164756455"],"apc_list":null,"apc_paid":null,"fwci":2.1677,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.89311594,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"51","issue":null,"first_page":"119","last_page":"123"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T14438","display_name":"Advanced Scientific Research Methods","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/1106","display_name":"Food Science"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T14438","display_name":"Advanced Scientific Research Methods","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/1106","display_name":"Food Science"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T13608","display_name":"Advanced Computational Techniques in Science and Engineering","score":0.9318000078201294,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T12734","display_name":"Information Systems and Technology Applications","score":0.9236000180244446,"subfield":{"id":"https://openalex.org/subfields/1404","display_name":"Management Information Systems"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/hyperspace","display_name":"Hyperspace","score":0.7439074516296387},{"id":"https://openalex.org/keywords/multidimensional-scaling","display_name":"Multidimensional scaling","score":0.6220735311508179},{"id":"https://openalex.org/keywords/dimension","display_name":"Dimension (graph theory)","score":0.5830491781234741},{"id":"https://openalex.org/keywords/piecewise","display_name":"Piecewise","score":0.5449333786964417},{"id":"https://openalex.org/keywords/dimensionality-reduction","display_name":"Dimensionality reduction","score":0.5325353145599365},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5186206698417664},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.5164861679077148},{"id":"https://openalex.org/keywords/hyperplane","display_name":"Hyperplane","score":0.4992704391479492},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.4978349208831787},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4849169850349426},{"id":"https://openalex.org/keywords/piecewise-linear-function","display_name":"Piecewise linear function","score":0.48411452770233154},{"id":"https://openalex.org/keywords/space","display_name":"Space (punctuation)","score":0.4707674980163574},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4678068459033966},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.42572951316833496},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.41460973024368286},{"id":"https://openalex.org/keywords/multidimensional-analysis","display_name":"Multidimensional analysis","score":0.4140982925891876},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.39137664437294006},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.36879611015319824},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.14944902062416077},{"id":"https://openalex.org/keywords/pure-mathematics","display_name":"Pure mathematics","score":0.08301103115081787}],"concepts":[{"id":"https://openalex.org/C39368324","wikidata":"https://www.wikidata.org/wiki/Q5024959","display_name":"Hyperspace","level":2,"score":0.7439074516296387},{"id":"https://openalex.org/C91682802","wikidata":"https://www.wikidata.org/wiki/Q620538","display_name":"Multidimensional scaling","level":2,"score":0.6220735311508179},{"id":"https://openalex.org/C33676613","wikidata":"https://www.wikidata.org/wiki/Q13415176","display_name":"Dimension (graph theory)","level":2,"score":0.5830491781234741},{"id":"https://openalex.org/C164660894","wikidata":"https://www.wikidata.org/wiki/Q2037833","display_name":"Piecewise","level":2,"score":0.5449333786964417},{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.5325353145599365},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5186206698417664},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.5164861679077148},{"id":"https://openalex.org/C68693459","wikidata":"https://www.wikidata.org/wiki/Q657586","display_name":"Hyperplane","level":2,"score":0.4992704391479492},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.4978349208831787},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4849169850349426},{"id":"https://openalex.org/C17095337","wikidata":"https://www.wikidata.org/wiki/Q2375229","display_name":"Piecewise linear function","level":2,"score":0.48411452770233154},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.4707674980163574},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4678068459033966},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.42572951316833496},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.41460973024368286},{"id":"https://openalex.org/C169191187","wikidata":"https://www.wikidata.org/wiki/Q1418353","display_name":"Multidimensional analysis","level":2,"score":0.4140982925891876},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.39137664437294006},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.36879611015319824},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.14944902062416077},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.08301103115081787},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/stc-csit.2019.8929798","is_oa":false,"landing_page_url":"https://doi.org/10.1109/stc-csit.2019.8929798","pdf_url":null,"source":{"id":"https://openalex.org/S4306498473","display_name":"2019 IEEE 14th International Conference on Computer Sciences and Information Technologies (CSIT)","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":"2019 IEEE 14th International Conference on Computer Sciences and Information Technologies (CSIT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","score":0.5299999713897705,"id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1504694836","https://openalex.org/W1974851736","https://openalex.org/W2125055259","https://openalex.org/W2137570937","https://openalex.org/W2148603752","https://openalex.org/W2151308089","https://openalex.org/W2326433043","https://openalex.org/W2464840826","https://openalex.org/W2547157941","https://openalex.org/W2883627791","https://openalex.org/W3099876243","https://openalex.org/W4246354968","https://openalex.org/W4252316495","https://openalex.org/W6682176057","https://openalex.org/W6729316789"],"related_works":["https://openalex.org/W1582127415","https://openalex.org/W2092404495","https://openalex.org/W2015609928","https://openalex.org/W2003051771","https://openalex.org/W2803394151","https://openalex.org/W4380343408","https://openalex.org/W2912552930","https://openalex.org/W4240954477","https://openalex.org/W2012281976","https://openalex.org/W2804721500"],"abstract_inverted_index":{"Information":[0,117],"technology":[1,118,144],"allowing":[2],"to":[3,27,32,46,60,75,146],"implement":[4,61],"problems":[5],"of":[6,10,12,16,37,42,70,79,81,86,89,95,101,110,129,133,152],"classification,":[7],"clustering,":[8],"researching":[9],"topology":[11],"the":[13,17,28,34,38,43,98,106],"information":[14,35,143],"component":[15],"data":[18,90],"is":[19,25,53,115,120],"proposed.":[20],"The":[21],"multidimensional":[22,50,65,121,140,155],"feature":[23,66],"space":[24,31,44,122],"reduced":[26],"visual":[29,125],"presentation":[30],"determine":[33],"content":[36],"data.":[39],"Optimized":[40],"reduction":[41],"dimension":[45],"two-dimensional":[47],"one":[48],"applying":[49],"scaling":[51],"methods":[52],"used.":[54],"Using":[55],"piecewise":[56,130],"linear":[57,131],"constraints":[58,132,137],"allows":[59],"projecting":[62,123,138],"into":[63,124,139],"original":[64],"space.":[67,141,156],"Visual":[68],"construction":[69],"restrictive":[71,93],"separators":[72],"makes":[73],"possible":[74],"consider":[76],"tolerance":[77],"fields":[78],"changing":[80],"features":[82],"parameters,":[83],"measure":[84],"separation":[85],"classes,":[87],"nonlinearity":[88],"grouping.":[91],"Thus,":[92,142],"areas":[94],"hyperspace":[96,114],"for":[97],"necessary":[99],"categories":[100,151],"classes":[102,153],"are":[103],"formed.":[104],"At":[105],"same":[107],"time,":[108],"visualization":[109],"classification":[111],"processes":[112],"in":[113,154],"provided.":[116],"base":[119],"(two-dimensional)":[126],"space,":[127],"constructing":[128],"studied":[134],"areas,":[135],"subsequent":[136],"enables":[145],"synthesize":[147],"separating":[148],"hyperplanes":[149],"limiting":[150]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
