{"id":"https://openalex.org/W3016025940","doi":"https://doi.org/10.5121/ijaia.2020.11202","title":"Data Mining Applied in Food Trade Network","display_name":"Data Mining Applied in Food Trade Network","publication_year":2020,"publication_date":"2020-03-31","ids":{"openalex":"https://openalex.org/W3016025940","doi":"https://doi.org/10.5121/ijaia.2020.11202","mag":"3016025940"},"language":"en","primary_location":{"id":"doi:10.5121/ijaia.2020.11202","doi":"https://doi.org/10.5121/ijaia.2020.11202","is_oa":true,"landing_page_url":"http://doi.org/10.5121/ijaia.2020.11202","pdf_url":"https://doi.org/10.5121/ijaia.2020.11202","source":{"id":"https://openalex.org/S115674417","display_name":"International Journal of Artificial Intelligence & Applications","issn_l":"0975-900X","issn":["0975-900X","0976-2191"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Artificial Intelligence & Applications","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://doi.org/10.5121/ijaia.2020.11202","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5004504142","display_name":"Alessandro S. Massaro","orcid":"https://orcid.org/0000-0003-1744-783X","observed_orcids":["https://orcid.org/0000-0003-1744-783X"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Alessandro Massaro","raw_affiliation_strings":["Dyrecta Lab, IT Research Laboratory, via Vescovo Simplicio, 45, 70014 Conversano (BA), Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dyrecta Lab, IT Research Laboratory, via Vescovo Simplicio, 45, 70014 Conversano (BA), Italy","institution_ids":[]}]},{"author_position":"middle","author":{"id":null,"display_name":"Giovanni Dipierro","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Giovanni Dipierro","raw_affiliation_strings":["Dyrecta Lab, IT Research Laboratory, via Vescovo Simplicio, 45, 70014 Conversano (BA), Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dyrecta Lab, IT Research Laboratory, via Vescovo Simplicio, 45, 70014 Conversano (BA), Italy","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003919611","display_name":"Annamaria Saponaro","orcid":"https://orcid.org/0000-0002-8037-2415","observed_orcids":["https://orcid.org/0000-0002-8037-2415"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Annamaria Saponaro","raw_affiliation_strings":["Dyrecta Lab, IT Research Laboratory, via Vescovo Simplicio, 45, 70014 Conversano (BA), Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dyrecta Lab, IT Research Laboratory, via Vescovo Simplicio, 45, 70014 Conversano (BA), Italy","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102855818","display_name":"Angelo Maurizio Galiano","orcid":"https://orcid.org/0000-0001-6732-6695","observed_orcids":["https://orcid.org/0000-0001-6732-6695"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Angelo Galiano","raw_affiliation_strings":["Dyrecta Lab, IT Research Laboratory, via Vescovo Simplicio, 45, 70014 Conversano (BA), Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dyrecta Lab, IT Research Laboratory, via Vescovo Simplicio, 45, 70014 Conversano (BA), Italy","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.1518,"has_fulltext":true,"cited_by_count":9,"citation_normalized_percentile":{"value":0.88631115,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":98},"biblio":{"volume":"11","issue":"2","first_page":"15","last_page":"35"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11891","display_name":"Big Data and Business Intelligence","score":0.4302000105381012,"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"}},"topics":[{"id":"https://openalex.org/T11891","display_name":"Big Data and Business Intelligence","score":0.4302000105381012,"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"}},{"id":"https://openalex.org/T13373","display_name":"Data Mining and Machine Learning Applications","score":0.38179999589920044,"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/T11918","display_name":"Forecasting Techniques and Applications","score":0.08479999750852585,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/decision-support-system","display_name":"decision support system","score":0.902999997138977},{"id":"https://openalex.org/keywords/food-trade-networks","display_name":"food trade networks","score":0.8119999766349792},{"id":"https://openalex.org/keywords/global-distribution-systems","display_name":"global distribution systems","score":0.972000002861023},{"id":"https://openalex.org/keywords/key-performance-indicators","display_name":"key performance indicators","score":0.9739999771118164},{"id":"https://openalex.org/keywords/cassandra","display_name":"Cassandra","score":0.39800000190734863},{"id":"https://openalex.org/keywords/big-data","display_name":"big data","score":0.7620000243186951},{"id":"https://openalex.org/keywords/lstm","display_name":"LSTM","score":0.5649999976158142},{"id":"https://openalex.org/keywords/recurrent-neural-networks","display_name":"recurrent neural networks","score":0.9850000143051147},{"id":"https://openalex.org/keywords/gated-recurrent-unit","display_name":"gated recurrent unit","score":0.925000011920929},{"id":"https://openalex.org/keywords/risk-mapping","display_name":"risk mapping","score":0.8709999918937683},{"id":"https://openalex.org/keywords/business-intelligence","display_name":"business intelligence","score":0.8560000061988831},{"id":"https://openalex.org/keywords/strategic-marketing","display_name":"strategic marketing","score":0.75}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8215380907058716}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.5121/ijaia.2020.11202","doi":"https://doi.org/10.5121/ijaia.2020.11202","is_oa":true,"landing_page_url":"http://doi.org/10.5121/ijaia.2020.11202","pdf_url":"https://doi.org/10.5121/ijaia.2020.11202","source":{"id":"https://openalex.org/S115674417","display_name":"International Journal of Artificial Intelligence & Applications","issn_l":"0975-900X","issn":["0975-900X","0976-2191"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Artificial Intelligence & Applications","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.5121/ijaia.2020.11202","doi":"https://doi.org/10.5121/ijaia.2020.11202","is_oa":true,"landing_page_url":"http://doi.org/10.5121/ijaia.2020.11202","pdf_url":"https://doi.org/10.5121/ijaia.2020.11202","source":{"id":"https://openalex.org/S115674417","display_name":"International Journal of Artificial Intelligence & Applications","issn_l":"0975-900X","issn":["0975-900X","0976-2191"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Artificial Intelligence & Applications","raw_type":"journal-article"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3016025940.pdf","grobid_xml":"https://content.openalex.org/works/W3016025940.grobid-xml"},"referenced_works_count":22,"referenced_works":["https://openalex.org/W203925489","https://openalex.org/W1604264128","https://openalex.org/W1658916307","https://openalex.org/W2024450772","https://openalex.org/W2064675550","https://openalex.org/W2580662672","https://openalex.org/W2580872874","https://openalex.org/W2786581315","https://openalex.org/W2808421084","https://openalex.org/W2859511454","https://openalex.org/W2884970730","https://openalex.org/W2890804857","https://openalex.org/W2897029975","https://openalex.org/W2912139546","https://openalex.org/W2913116369","https://openalex.org/W2915052419","https://openalex.org/W2921964180","https://openalex.org/W2970160078","https://openalex.org/W2979988284","https://openalex.org/W3003216474","https://openalex.org/W4252748238","https://openalex.org/W6893673258"],"related_works":["https://openalex.org/W2915052419","https://openalex.org/W2913116369","https://openalex.org/W3134268264","https://openalex.org/W7095874028","https://openalex.org/W4361284174","https://openalex.org/W4402746214","https://openalex.org/W1965236394","https://openalex.org/W4226382647","https://openalex.org/W2014175168","https://openalex.org/W2992299347"],"abstract_inverted_index":{"The":[0],"proposed":[1,153],"study":[2],"deals":[3],"with":[4,53,107,124],"the":[5,8,19,24,44,48,55,71,116,125,132,150,160],"design":[6,67],"and":[7,30,64,101,144,168],"development":[9],"of":[10,47,142],"a":[11,39,121,156,165],"Decision":[12],"Support":[13],"System":[14],"(DSS)":[15],"platform":[16,26,50,154],"suitable":[17],"for":[18,164],"global":[20],"distribution":[21],"system":[22],"(GDS).Precisely,":[23],"prototype":[25],"combines":[27],"artificial":[28,87],"intelligence":[29,171],"data":[31,36,74],"mining":[32,75],"algorithms":[33,76,119],"to":[34,82,114,130,135,158],"process":[35],"collected":[37],"into":[38],"Cassandra":[40],"Big":[41],"Data":[42],"system.In":[43],"first":[45],"part":[46,73],"paper":[49],"architectures":[51,90],"together":[52],"all":[54],"adopted":[56,86],"frameworks":[57],"including":[58],"Key":[59],"Performance":[60],"Indicators":[61],"(KPIs)":[62],"definitions":[63],"risk":[65],"mapping":[66],"have":[68,77],"been":[69,78,110],"discussed.In":[70],"second":[72],"applied":[79],"in":[80,112,140],"order":[81,113],"predict":[83,136],"main":[84],"KPIs.The":[85,137],"neural":[88],"networks":[89],"are":[91,146],"Long":[92],"Short-Term":[93],"Memory":[94],"(LSTM),":[95],"standard":[96,151],"Recurrent":[97,103],"Neural":[98],"Network":[99],"(RNN)":[100],"Gated":[102],"Units":[104],"(GRU).A":[105],"dataset":[106],"KPIs":[108],"has":[109],"generated":[111,126],"test":[115],"algorithms.All":[117],"performed":[118],"show":[120],"good":[122],"matching":[123],"dataset,":[127],"thus":[128],"proving":[129],"be":[131],"correct":[133],"approach":[134],"best":[138],"performances":[139],"terms":[141],"Accuracy":[143],"Loss":[145],"reached":[147],"by":[148],"using":[149],"RNN.The":[152],"represents":[155],"solution":[157],"increase":[159],"Knowledge":[161],"Base":[162],"(KB)":[163],"strategic":[166],"marketing":[167],"advanced":[169],"business":[170],"operations.":[172]},"counts_by_year":[{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":1}],"updated_date":"2026-11-04T10:54:05.112534","created_date":"2020-04-17T00:00:00"}