{"id":"https://openalex.org/W1979948782","doi":"https://doi.org/10.5220/0005144104270433","title":"A Clustering-based Approach for a Finest Biological Model Generation Describing Visitor Behaviours in a Cultural Heritage Scenario","display_name":"A Clustering-based Approach for a Finest Biological Model Generation Describing Visitor Behaviours in a Cultural Heritage Scenario","publication_year":2014,"publication_date":"2014-01-01","ids":{"openalex":"https://openalex.org/W1979948782","doi":"https://doi.org/10.5220/0005144104270433","mag":"1979948782"},"language":"en","primary_location":{"id":"doi:10.5220/0005144104270433","is_oa":false,"landing_page_url":"https://doi.org/10.5220/0005144104270433","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of 3rd International Conference on Data Management Technologies and Applications","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/A5002497813","display_name":"Salvatore Cuomo","orcid":"https://orcid.org/0000-0003-4128-2588"},"institutions":[{"id":"https://openalex.org/I71267560","display_name":"University of Naples Federico II","ror":"https://ror.org/05290cv24","country_code":"IT","type":"education","lineage":["https://openalex.org/I71267560"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Salvatore Cuomo","raw_affiliation_strings":["University of Naples Federico II, Italy"],"affiliations":[{"raw_affiliation_string":"University of Naples Federico II, Italy","institution_ids":["https://openalex.org/I71267560"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017506116","display_name":"Pasquale De Michele","orcid":"https://orcid.org/0000-0003-4854-7307"},"institutions":[{"id":"https://openalex.org/I71267560","display_name":"University of Naples Federico II","ror":"https://ror.org/05290cv24","country_code":"IT","type":"education","lineage":["https://openalex.org/I71267560"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Pasquale De Michele","raw_affiliation_strings":["University of Naples Federico II, Italy"],"affiliations":[{"raw_affiliation_string":"University of Naples Federico II, Italy","institution_ids":["https://openalex.org/I71267560"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063998679","display_name":"Giovanni Ponti","orcid":"https://orcid.org/0009-0004-2573-5959"},"institutions":[{"id":"https://openalex.org/I110120368","display_name":"National Agency for New Technologies, Energy and Sustainable Economic Development","ror":"https://ror.org/02an8es95","country_code":"IT","type":"funder","lineage":["https://openalex.org/I110120368"]},{"id":"https://openalex.org/I4387154317","display_name":"ENEA Portici Research Centre","ror":"https://ror.org/00x69dn41","country_code":null,"type":"government","lineage":["https://openalex.org/I110120368","https://openalex.org/I4387154317"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Giovanni Ponti","raw_affiliation_strings":["ENEA Portici Research Center, Italy"],"affiliations":[{"raw_affiliation_string":"ENEA Portici Research Center, Italy","institution_ids":["https://openalex.org/I110120368","https://openalex.org/I4387154317"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5002408471","display_name":"Maria Rosaria Posteraro","orcid":"https://orcid.org/0000-0001-6581-5727"},"institutions":[{"id":"https://openalex.org/I71267560","display_name":"University of Naples Federico II","ror":"https://ror.org/05290cv24","country_code":"IT","type":"education","lineage":["https://openalex.org/I71267560"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Maria Rosaria Posteraro","raw_affiliation_strings":["University of Naples Federico II, Italy"],"affiliations":[{"raw_affiliation_string":"University of Naples Federico II, Italy","institution_ids":["https://openalex.org/I71267560"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5002497813"],"corresponding_institution_ids":["https://openalex.org/I71267560"],"apc_list":null,"apc_paid":null,"fwci":0.9187,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.72047287,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"427","last_page":"433"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10581","display_name":"Neural dynamics and brain function","score":0.9944000244140625,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T10581","display_name":"Neural dynamics and brain function","score":0.9944000244140625,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9925000071525574,"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/T12650","display_name":"Aesthetic Perception and Analysis","score":0.95660001039505,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/novelty","display_name":"Novelty","score":0.7991439700126648},{"id":"https://openalex.org/keywords/spike","display_name":"Spike (software development)","score":0.7737520337104797},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.7551602125167847},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7440605759620667},{"id":"https://openalex.org/keywords/visitor-pattern","display_name":"Visitor pattern","score":0.6853856444358826},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5622907876968384},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.5326886773109436},{"id":"https://openalex.org/keywords/train","display_name":"Train","score":0.5004351139068604},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.46187806129455566},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3355957865715027},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.28885406255722046}],"concepts":[{"id":"https://openalex.org/C2778738651","wikidata":"https://www.wikidata.org/wiki/Q16546687","display_name":"Novelty","level":2,"score":0.7991439700126648},{"id":"https://openalex.org/C2781390188","wikidata":"https://www.wikidata.org/wiki/Q25203449","display_name":"Spike (software development)","level":2,"score":0.7737520337104797},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7551602125167847},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7440605759620667},{"id":"https://openalex.org/C48947383","wikidata":"https://www.wikidata.org/wiki/Q830719","display_name":"Visitor pattern","level":2,"score":0.6853856444358826},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5622907876968384},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.5326886773109436},{"id":"https://openalex.org/C190839683","wikidata":"https://www.wikidata.org/wiki/Q2448197","display_name":"Train","level":2,"score":0.5004351139068604},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.46187806129455566},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3355957865715027},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.28885406255722046},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C27206212","wikidata":"https://www.wikidata.org/wiki/Q34178","display_name":"Theology","level":1,"score":0.0},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.0},{"id":"https://openalex.org/C115903868","wikidata":"https://www.wikidata.org/wiki/Q80993","display_name":"Software engineering","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.5220/0005144104270433","is_oa":false,"landing_page_url":"https://doi.org/10.5220/0005144104270433","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of 3rd International Conference on Data Management Technologies and Applications","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","score":0.8199999928474426,"display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2389484663","https://openalex.org/W2381242807","https://openalex.org/W100279264","https://openalex.org/W3025803919","https://openalex.org/W2962094963","https://openalex.org/W3035526107","https://openalex.org/W3210442065","https://openalex.org/W2263713325","https://openalex.org/W3043002835","https://openalex.org/W2324278002"],"abstract_inverted_index":{"We":[0],"propose":[1],"a":[2,27,35,51,106,112,125],"biologically":[3],"inspired":[4],"mathematical":[5],"model":[6,36,141],"to":[7,22,38,50,77,80,91,97,139],"simulate":[8],"the":[9,24,40,46,88,93,99,120,128,132],"personalized":[10],"interactions":[11],"of":[12,26,34,71,134],"users":[13],"with":[14],"cultural":[15],"heritage":[16],"objects.":[17],"The":[18,68],"main":[19,69],"idea":[20],"is":[21,48],"measure":[23],"interests":[25,56],"spectator":[28],"w.r.t.":[29],"an":[30],"artwork":[31],"by":[32,59,65],"means":[33],"able":[37],"describe":[39],"behaviour":[41],"dynamics.":[42],"In":[43],"this":[44],"approach,":[45],"user":[47],"assimilated":[49],"computational":[52,100],"neuron,":[53],"and":[54,96,109,131,144],"its":[55],"are":[57,85,116],"deduced":[58],"counting":[60],"potential":[61],"spike":[62,145],"trains,":[63],"generated":[64],"external":[66],"currents.":[67],"novelty":[70],"our":[72,136],"approach":[73,137],"consists":[74],"in":[75,87],"resorting":[76],"clustering":[78],"task":[79],"discover":[81],"natural":[82],"groups,":[83],"which":[84],"used":[86],"next":[89],"step":[90],"verify":[92],"neuronal":[94],"response":[95],"tune":[98],"model.\r\n\r\nPreliminary":[101],"experimental":[102],"results,":[103,122],"based":[104],"on":[105],"phantom":[107],"database":[108],"obtained":[110,121],"from":[111],"real":[113],"world":[114],"scenario,":[115],"shown.":[117],"\r\n\r\nTo":[118],"discuss":[119],"we":[123],"report":[124],"comparison":[126],"between":[127],"cluster":[129,142],"memberships":[130],"number":[133],"spikes;":[135],"resulted":[138],"perfectly":[140],"assignment":[143],"emission.":[146]},"counts_by_year":[{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":3},{"year":2014,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}