{"id":"https://openalex.org/W4200618243","doi":"https://doi.org/10.1109/ic2ie53219.2021.9649163","title":"Analytics Platform for Morphometric Grow out and Production Condition of Mud Crabs of the Genus Scylla with K-Means","display_name":"Analytics Platform for Morphometric Grow out and Production Condition of Mud Crabs of the Genus Scylla with K-Means","publication_year":2021,"publication_date":"2021-09-14","ids":{"openalex":"https://openalex.org/W4200618243","doi":"https://doi.org/10.1109/ic2ie53219.2021.9649163"},"language":"en","primary_location":{"id":"doi:10.1109/ic2ie53219.2021.9649163","doi":"https://doi.org/10.1109/ic2ie53219.2021.9649163","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ic2ie53219.2021.9649163","pdf_url":null,"source":{"id":"https://openalex.org/S4363608556","display_name":"International Conference of Computer and Informatics Engineering (IC2IE)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"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":"2021 4th International Conference of Computer and Informatics Engineering (IC2IE)","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","is_traditional":true,"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/A5038008712","display_name":"Rossian V. Perea","orcid":"https://orcid.org/0000-0002-8670-9795","observed_orcids":["https://orcid.org/0000-0002-8670-9795"]},"institutions":[{"id":"https://openalex.org/I95350115","display_name":"Technological Institute of the Philippines","ror":"https://ror.org/02p79p790","country_code":"PH","type":"education","lineage":["https://openalex.org/I95350115"]}],"countries":["PH"],"is_corresponding":false,"raw_author_name":"Rossian V. Perea","raw_affiliation_strings":["Graduate Programs, Technological Institute of the Philippines, Manila, Philippines"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate Programs, Technological Institute of the Philippines, Manila, Philippines","institution_ids":["https://openalex.org/I95350115"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5028341363","display_name":"Enrique D. Festijo","orcid":"https://orcid.org/0009-0003-4442-4622","observed_orcids":["https://orcid.org/0009-0003-4442-4622"]},"institutions":[{"id":"https://openalex.org/I95350115","display_name":"Technological Institute of the Philippines","ror":"https://ror.org/02p79p790","country_code":"PH","type":"education","lineage":["https://openalex.org/I95350115"]}],"countries":["PH"],"is_corresponding":false,"raw_author_name":"Enrique D. Festijo","raw_affiliation_strings":["Technological Institute of the Philippines, Manila, Philippines"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Technological Institute of the Philippines, Manila, Philippines","institution_ids":["https://openalex.org/I95350115"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I95350115"],"apc_list":null,"apc_paid":null,"fwci":0.3349,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.44244436,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":93,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"117","last_page":"122"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13373","display_name":"Data Mining and Machine Learning Applications","score":0.8935999870300293,"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"}},"topics":[{"id":"https://openalex.org/T13373","display_name":"Data Mining and Machine Learning Applications","score":0.8935999870300293,"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/T11734","display_name":"Decision Support System Applications","score":0.02290000021457672,"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/T11891","display_name":"Big Data and Business Intelligence","score":0.020899999886751175,"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/mud-crab-aquaculture","display_name":"mud crab aquaculture","score":0.8289999961853027},{"id":"https://openalex.org/keywords/scylla","display_name":"Scylla","score":0.9950000047683716},{"id":"https://openalex.org/keywords/crab-production","display_name":"crab production","score":0.49000000953674316},{"id":"https://openalex.org/keywords/data-analytics-platform","display_name":"data analysis platform","score":0.7799999713897705},{"id":"https://openalex.org/keywords/k-means-clustering","display_name":"K-means clustering","score":0.9710000157356262},{"id":"https://openalex.org/keywords/descriptive-analytics","display_name":"descriptive analytics","score":0.7009999752044678},{"id":"https://openalex.org/keywords/predictive-analytics","display_name":"predictive analytics","score":0.9789999723434448},{"id":"https://openalex.org/keywords/prescriptive-analytics","display_name":"prescriptive analytics","score":0.9980000257492065},{"id":"https://openalex.org/keywords/data-driven-decision-making","display_name":"data-driven decision making","score":0.7519999742507935},{"id":"https://openalex.org/keywords/philippines","display_name":"Philippines","score":0.5460000038146973}],"concepts":[{"id":"https://openalex.org/C9354725","wikidata":"https://www.wikidata.org/wiki/Q286017","display_name":"Operationalization","level":2,"score":0.829560399055481},{"id":"https://openalex.org/C79158427","wikidata":"https://www.wikidata.org/wiki/Q485396","display_name":"Analytics","level":2,"score":0.7429662942886353},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6303616762161255},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.6298695802688599},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.6003087162971497},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4977286159992218},{"id":"https://openalex.org/C175801342","wikidata":"https://www.wikidata.org/wiki/Q1988917","display_name":"Data analysis","level":2,"score":0.49359309673309326},{"id":"https://openalex.org/C172367668","wikidata":"https://www.wikidata.org/wiki/Q6504956","display_name":"Data visualization","level":3,"score":0.48326021432876587},{"id":"https://openalex.org/C2778348673","wikidata":"https://www.wikidata.org/wiki/Q739302","display_name":"Production (economics)","level":2,"score":0.47027117013931274},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.42607855796813965},{"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/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","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/C139719470","wikidata":"https://www.wikidata.org/wiki/Q39680","display_name":"Macroeconomics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ic2ie53219.2021.9649163","doi":"https://doi.org/10.1109/ic2ie53219.2021.9649163","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ic2ie53219.2021.9649163","pdf_url":null,"source":{"id":"https://openalex.org/S4363608556","display_name":"International Conference of Computer and Informatics Engineering (IC2IE)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"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":"2021 4th International Conference of Computer and Informatics Engineering (IC2IE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W1568826402","https://openalex.org/W2148471484","https://openalex.org/W2171915511","https://openalex.org/W2335800455","https://openalex.org/W2894066941","https://openalex.org/W2912021268","https://openalex.org/W2918426126","https://openalex.org/W2955024045","https://openalex.org/W2972370714","https://openalex.org/W2982187268","https://openalex.org/W3093345940","https://openalex.org/W3098682212","https://openalex.org/W4313071846"],"related_works":["https://openalex.org/W4406794988","https://openalex.org/W4214879627","https://openalex.org/W7166570048","https://openalex.org/W2226954125","https://openalex.org/W2667041561","https://openalex.org/W4387390686","https://openalex.org/W7008259034","https://openalex.org/W7070369636","https://openalex.org/W7213635156","https://openalex.org/W3179138749"],"abstract_inverted_index":{"The":[0],"traditional":[1],"use":[2],"of":[3,18,29,33,67,78,99,124],"an":[4],"electronic":[5],"spreadsheet":[6],"is":[7,46],"poorly":[8],"suited":[9],"to":[10,21,36,48,118,144,152],"operationalize":[11],"and":[12,16,51,61,69,76,107,110,127,132,139],"manage":[13],"the":[14,26,30,38,53,65,74,87],"visualization":[15],"analysis":[17,147],"datasets":[19,54],"related":[20],"mud":[22,42],"crab":[23,82],"production":[24],"in":[25,59,122],"Philippines":[27],"because":[28],"long":[31],"process":[32],"constructing":[34],"equations":[35],"produce":[37],"desired":[39],"diagram.":[40],"A":[41,90],"crab-specific":[43],"analytic":[44,134],"platform":[45,135],"needed":[47],"accurately":[49],"visualize":[50],"analyze":[52],"that":[55],"will":[56],"eventually":[57],"result":[58],"better":[60],"data-driven":[62],"decision-making":[63],"on":[64,148],"part":[66],"farmers":[68,138],"stakeholders.":[70],"This":[71,130],"paper":[72],"introduces":[73],"design":[75],"development":[77,93],"a":[79,113,141,149],"state-of-the-art":[80],"Mud":[81],"Analytics":[83],"Platform":[84],"(MAP)":[85],"utilizing":[86],"K-means":[88],"algorithm.":[89],"holistic":[91],"system":[92],"approach":[94],"was":[95,116],"applied":[96],"which":[97],"consists":[98],"three":[100],"phases":[101],"namely;":[102],"1)":[103],"capture,":[104],"2)":[105],"consumption,":[106],"3)":[108],"integration":[109],"transformation.":[111],"As":[112],"result,":[114],"MAP":[115],"able":[117],"provide":[119,137],"significant":[120],"insights":[121],"terms":[123],"descriptive,":[125],"predictive,":[126],"prescriptive":[128],"analytics.":[129],"real-time":[131],"dynamic":[133],"may":[136],"stakeholders":[140],"powerful":[142],"means":[143],"conduct":[145],"data":[146],"community":[150],"level":[151],"obtain":[153],"actionable":[154],"insights.":[155]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":2}],"updated_date":"2026-10-16T09:59:22.235173","created_date":"2021-12-31T00:00:00"}
