{"id":"https://openalex.org/W6966768171","doi":"https://doi.org/10.48550/arxiv.2503.05772","title":"Complex Networks for Pattern-Based Data Classification","display_name":"Complex Networks for Pattern-Based Data Classification","publication_year":2025,"publication_date":"2025-02-25","ids":{"openalex":"https://openalex.org/W6966768171","doi":"https://doi.org/10.48550/arxiv.2503.05772"},"language":"en","primary_location":{"id":"pmh:oai:arXiv.org:2503.05772","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2503.05772","pdf_url":"https://arxiv.org/pdf/2503.05772","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"volume":null,"type":"preprint","is_traditional":true,"indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2503.05772","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5007388162","display_name":"Josimar Chire","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chire, Josimar","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Mahmood, Khalid","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I123387679","display_name":"Uppsala University","ror":"https://ror.org/048a87296","country_code":"SE","type":"education","lineage":["https://openalex.org/I123387679"]},{"id":"https://openalex.org/I17974374","display_name":"Universidade de S\u00e3o Paulo","ror":"https://ror.org/036rp1748","country_code":"BR","type":"education","lineage":["https://openalex.org/I17974374"]}],"countries":["BR","SE"],"is_corresponding":false,"raw_author_name":"Mahmood, Khalid","raw_affiliation_strings":["Department of Information Technology , Uppsala University , Uppsala , Sweden","Institute of Mathematics and Computer Science , University of S\u00e3o Paulo , S\u00e3o Carlos , SP , Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Information Technology , Uppsala University , Uppsala , Sweden","institution_ids":["https://openalex.org/I123387679"]},{"raw_affiliation_string":"Institute of Mathematics and Computer Science , University of S\u00e3o Paulo , S\u00e3o Carlos , SP , Brazil","institution_ids":["https://openalex.org/I17974374"]}]},{"author_position":"last","author":{"id":null,"display_name":"Liang, Zhao","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I17974374","display_name":"Universidade de S\u00e3o Paulo","ror":"https://ror.org/036rp1748","country_code":"BR","type":"education","lineage":["https://openalex.org/I17974374"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Liang, Zhao","raw_affiliation_strings":["Department of Computing and Mathematics , University of Sao Paulo , Ribeir\u00e3o Preto , SP , Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computing and Mathematics , University of Sao Paulo , Ribeir\u00e3o Preto , SP , Brazil","institution_ids":["https://openalex.org/I17974374"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":true,"primary_topic":{"id":"https://openalex.org/T12536","display_name":"Topological and Geometric Data Analysis","score":0.4948999881744385,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T12536","display_name":"Topological and Geometric Data Analysis","score":0.4948999881744385,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T10064","display_name":"Complex Network Analysis Techniques","score":0.30809998512268066,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.07339999824762344,"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/complex-networks","display_name":"complex networks","score":0.9739999771118164},{"id":"https://openalex.org/keywords/pattern-based-classification","display_name":"pattern-based classification","score":0.7350000143051147},{"id":"https://openalex.org/keywords/minimum-spanning-tree","display_name":"minimum spanning tree","score":0.9570000171661377},{"id":"https://openalex.org/keywords/single-source-shortest-path","display_name":"single-source shortest path","score":0.9599999785423279},{"id":"https://openalex.org/keywords/network-metrics","display_name":"network metrics","score":0.949999988079071},{"id":"https://openalex.org/keywords/class-structure","display_name":"class structure","score":0.6579999923706055},{"id":"https://openalex.org/keywords/feature-space-partitioning","display_name":"feature space partitioning","score":0.7129999995231628}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6057000160217285},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5914000272750854},{"id":"https://openalex.org/C2780724565","wikidata":"https://www.wikidata.org/wiki/Q5227256","display_name":"Data classification","level":2,"score":0.5878000259399414},{"id":"https://openalex.org/C42812","wikidata":"https://www.wikidata.org/wiki/Q1082910","display_name":"Partition (number theory)","level":2,"score":0.49639999866485596},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.47209998965263367},{"id":"https://openalex.org/C110083411","wikidata":"https://www.wikidata.org/wiki/Q1744628","display_name":"Statistical classification","level":2,"score":0.45750001072883606},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4523000121116638},{"id":"https://openalex.org/C34872919","wikidata":"https://www.wikidata.org/wiki/Q7092302","display_name":"One-class classification","level":3,"score":0.4472000002861023},{"id":"https://openalex.org/C34947359","wikidata":"https://www.wikidata.org/wiki/Q665189","display_name":"Complex network","level":2,"score":0.41429999470710754},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4018999934196472},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.3903000056743622},{"id":"https://openalex.org/C123860398","wikidata":"https://www.wikidata.org/wiki/Q6934605","display_name":"Multiclass classification","level":3,"score":0.3732999861240387},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.36730000376701355},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.35440000891685486},{"id":"https://openalex.org/C13460635","wikidata":"https://www.wikidata.org/wiki/Q85753676","display_name":"Classification scheme","level":2,"score":0.33739998936653137},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.33070001006126404},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.3082999885082245},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.30799999833106995},{"id":"https://openalex.org/C138958017","wikidata":"https://www.wikidata.org/wiki/Q190087","display_name":"Data type","level":2,"score":0.296099990606308},{"id":"https://openalex.org/C139532973","wikidata":"https://www.wikidata.org/wiki/Q2679259","display_name":"Linear classifier","level":3,"score":0.2922999858856201},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.2849999964237213},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.2831999957561493},{"id":"https://openalex.org/C5481197","wikidata":"https://www.wikidata.org/wiki/Q16766476","display_name":"Decision tree learning","level":3,"score":0.27000001072883606},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.26930001378059387}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:arXiv.org:2503.05772","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2503.05772","pdf_url":"https://arxiv.org/pdf/2503.05772","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"doi:10.48550/arxiv.2503.05772","doi":"https://doi.org/10.48550/arxiv.2503.05772","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2503.05772","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2503.05772","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2503.05772","pdf_url":"https://arxiv.org/pdf/2503.05772","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"study_designs":[],"awards":[{"id":"https://openalex.org/G6674923580","display_name":null,"funder_award_id":"2019/07665-4","funder_id":"https://openalex.org/F4320307762","funder_display_name":"International Business Machines Corporation"}],"funders":[{"id":"https://openalex.org/F4320307762","display_name":"International Business Machines Corporation","ror":"https://ror.org/05hh8d621"},{"id":"https://openalex.org/F4320320997","display_name":"Funda\u00e7\u00e3o de Amparo \u00e0 Pesquisa do Estado de S\u00e3o Paulo","ror":"https://ror.org/02ddkpn78"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W6966768171.pdf","grobid_xml":"https://content.openalex.org/works/W6966768171.grobid-xml"},"referenced_works_count":1,"referenced_works":["https://openalex.org/W2525778437"],"related_works":["https://openalex.org/W2312380889","https://openalex.org/W4385482923","https://openalex.org/W2897130202","https://openalex.org/W3086994705","https://openalex.org/W2915396461","https://openalex.org/W3200295741","https://openalex.org/W2077551920","https://openalex.org/W2021311607","https://openalex.org/W2040800022","https://openalex.org/W7120289904"],"abstract_inverted_index":{"Data":[0],"classification":[1,67,73,92,135,150,177,210,221],"techniques":[2,68,93,131],"partition":[3],"the":[4,35,44,99,114,119,144,163,167,174,188,192,202],"data":[5,80,115,134,189],"or":[6],"feature":[7],"space":[8],"into":[9,20],"smaller":[10],"sub-spaces,":[11],"each":[12,124],"corresponding":[13],"to":[14,78,132,143,173,186,194],"a":[15,50],"specific":[16],"class.":[17,125],"To":[18],"classify":[19,79],"subspaces,":[21],"physical":[22],"features":[23,170],"e.g.,":[24],"distance":[25],"and":[26,57,103,139,148,218],"distributions":[27],"are":[28,41,111,216],"utilized.":[29,84],"This":[30],"approach":[31],"is":[32,184,204],"challenging":[33],"for":[34,53,158,220],"characterization":[36],"of":[37],"complex":[38,47,65],"patterns":[39,116],"that":[40],"embedded":[42],"in":[43,171],"dataset.":[45],"However,":[46],"networks":[48],"remain":[49],"powerful":[51],"technique":[52],"capturing":[54],"internal":[55],"relationships":[56],"class":[58],"structures,":[59],"enabling":[60],"High-Level":[61],"Classification.":[62],"Although":[63],"several":[64,133],"network-based":[66,91],"have":[69,127,153],"been":[70,83],"proposed,":[71],"high-level":[72,147,176],"by":[74,118],"leveraging":[75],"pattern":[76],"formation":[77],"has":[81],"not":[82],"In":[85],"this":[86],"work,":[87],"we":[88,152],"present":[89],"two":[90],"utilizing":[94],"unique":[95],"measures":[96,110],"derived":[97],"from":[98,113,123],"Minimum":[100],"Spanning":[101],"Tree":[102],"Single":[104],"Source":[105],"Shortest":[106],"Path.":[107],"These":[108],"network":[109,121,182,199],"evaluated":[112],"represented":[117],"inherent":[120],"constructed":[122],"We":[126],"applied":[128],"our":[129,159],"proposed":[130,160,164,215],"scenarios":[136],"including":[137],"synthetic":[138],"real-world":[140],"datasets.":[141],"Compared":[142],"existing":[145],"classic":[146],"machine-learning":[149],"techniques,":[151],"observed":[154],"promising":[155],"numerical":[156],"results":[157],"approaches.":[161],"Furthermore,":[162],"models":[165],"demonstrate":[166],"following":[168],"distinguished":[169],"comparison":[172],"previous":[175],"techniques:":[178],"(1)":[179],"A":[180],"single":[181],"measure":[183],"introduced":[185],"characterize":[187],"pattern,":[190],"eliminating":[191],"need":[193],"determine":[195],"weight":[196],"parameters":[197],"among":[198],"measures.":[200],"Therefore,":[201],"model":[203],"largely":[205],"simplified,":[206],"while":[207],"obtaining":[208],"better":[209],"results.":[211,224],"(2)":[212],"The":[213],"metrics":[214],"sensitive":[217],"used":[219],"with":[222],"competitive":[223]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1}],"updated_date":"2026-11-10T11:39:43.021295","created_date":"2025-10-10T00:00:00"}
