{"id":"https://openalex.org/W2904670052","doi":"https://doi.org/10.1109/icacci.2018.8554621","title":"Multidimensional Data Model for Air Pollution Data Analysis","display_name":"Multidimensional Data Model for Air Pollution Data Analysis","publication_year":2018,"publication_date":"2018-09-01","ids":{"openalex":"https://openalex.org/W2904670052","doi":"https://doi.org/10.1109/icacci.2018.8554621","mag":"2904670052"},"language":"en","primary_location":{"id":"doi:10.1109/icacci.2018.8554621","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icacci.2018.8554621","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 International Conference on Advances in Computing, Communications and Informatics (ICACCI)","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/A5112328529","display_name":"Doreswamy","orcid":null},"institutions":[{"id":"https://openalex.org/I19008122","display_name":"Mangalore University","ror":"https://ror.org/05fep3933","country_code":"IN","type":"education","lineage":["https://openalex.org/I19008122"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Doreswamy","raw_affiliation_strings":["Mangalore University, Mangalagangotri, Karnataka, IN"],"affiliations":[{"raw_affiliation_string":"Mangalore University, Mangalagangotri, Karnataka, IN","institution_ids":["https://openalex.org/I19008122"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5079850080","display_name":"K S Harishkumar","orcid":null},"institutions":[{"id":"https://openalex.org/I19008122","display_name":"Mangalore University","ror":"https://ror.org/05fep3933","country_code":"IN","type":"education","lineage":["https://openalex.org/I19008122"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"K.S Harishkumar","raw_affiliation_strings":["Mangalore University, Mangalagangotri, Karnataka, IN"],"affiliations":[{"raw_affiliation_string":"Mangalore University, Mangalagangotri, Karnataka, IN","institution_ids":["https://openalex.org/I19008122"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5112328529"],"corresponding_institution_ids":["https://openalex.org/I19008122"],"apc_list":null,"apc_paid":null,"fwci":0.4018,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.63600933,"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":"1684","last_page":"1689"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12120","display_name":"Air Quality Monitoring and Forecasting","score":0.9941999912261963,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12120","display_name":"Air Quality Monitoring and Forecasting","score":0.9941999912261963,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11490","display_name":"Hydrological Forecasting Using AI","score":0.9926000237464905,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9603000283241272,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7771341800689697},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.6359822750091553},{"id":"https://openalex.org/keywords/schema","display_name":"Schema (genetic algorithms)","score":0.6264625787734985},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.46750932931900024},{"id":"https://openalex.org/keywords/data-quality","display_name":"Data quality","score":0.4294251799583435},{"id":"https://openalex.org/keywords/logical-data-model","display_name":"Logical data model","score":0.42074739933013916},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.23555904626846313},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.21387669444084167}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7771341800689697},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.6359822750091553},{"id":"https://openalex.org/C52146309","wikidata":"https://www.wikidata.org/wiki/Q7431116","display_name":"Schema (genetic algorithms)","level":2,"score":0.6264625787734985},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.46750932931900024},{"id":"https://openalex.org/C24756922","wikidata":"https://www.wikidata.org/wiki/Q1757694","display_name":"Data quality","level":3,"score":0.4294251799583435},{"id":"https://openalex.org/C203702819","wikidata":"https://www.wikidata.org/wiki/Q17146953","display_name":"Logical data model","level":3,"score":0.42074739933013916},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.23555904626846313},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.21387669444084167},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","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/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icacci.2018.8554621","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icacci.2018.8554621","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 International Conference on Advances in Computing, Communications and Informatics (ICACCI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","score":0.6399999856948853,"id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W103497476","https://openalex.org/W574355879","https://openalex.org/W881558628","https://openalex.org/W1495859460","https://openalex.org/W1539619594","https://openalex.org/W1555578491","https://openalex.org/W1910216135","https://openalex.org/W1967804873","https://openalex.org/W1972234435","https://openalex.org/W1973260976","https://openalex.org/W2042425987","https://openalex.org/W2055412520","https://openalex.org/W2059950227","https://openalex.org/W2065194973","https://openalex.org/W2065950550","https://openalex.org/W2067960997","https://openalex.org/W2074546050","https://openalex.org/W2140190241","https://openalex.org/W2153621889","https://openalex.org/W2551788498","https://openalex.org/W2743523715","https://openalex.org/W2765896069"],"related_works":["https://openalex.org/W3089353361","https://openalex.org/W2135768893","https://openalex.org/W176219849","https://openalex.org/W3021414116","https://openalex.org/W81164209","https://openalex.org/W638142098","https://openalex.org/W2991945580","https://openalex.org/W1592030807","https://openalex.org/W3081133439","https://openalex.org/W2098136777"],"abstract_inverted_index":{"A":[0],"large":[1],"volume":[2],"of":[3,20,24,29],"data":[4,25,54,83,90,101],"being":[5],"gathered":[6],"and":[7,18,31,43,59,69,77,111,120],"stored":[8],"in":[9],"a":[10,13,27,52,105],"file":[11],"is":[12,46,85,104],"remarkable":[14],"rate.":[15],"The":[16,128],"administration":[17],"handling":[19],"an":[21,41,47,133],"enormous":[22],"amount":[23],"consume":[26],"lot":[28],"time":[30],"space.":[32],"Therefore,":[33],"the":[34,81,89,100],"procedure":[35],"to":[36,56],"store,":[37,57],"maintain,":[38],"analyze":[39,60],"with":[40,64],"easy":[42],"useful":[44],"format":[45],"essential":[48],"task.":[49],"We":[50],"describe":[51],"multidimensional":[53,82],"model":[55,84],"group":[58],"for":[61,80,87,132],"decision":[62,135],"making":[63,136],"meaningful":[65],"information":[66],"from":[67,92],"historical":[68],"current":[70],"data.":[71],"In":[72,99],"this":[73],"paper":[74],"STAR":[75],"schema":[76,79],"SNOWFLAKE":[78],"proposed":[86],"organizing":[88],"obtained":[91],"Taiwan":[93],"Air":[94],"Quality":[95],"Monitoring":[96],"Network":[97],"(TAQMN).":[98],"model,":[102],"there":[103],"fact":[106],"table,":[107],"three":[108],"dimensional":[109],"tables":[110],"other":[112],"parameters":[113],"such":[114],"as":[115,125],"Min,":[116],"Max,":[117],"Mean,":[118],"StdDev,":[119],"coefficient":[121],"variation":[122],"are":[123,130],"considered":[124],"computational":[126],"measures.":[127],"measures":[129],"analyzed":[131],"effective":[134],"or":[137],"knowledge":[138],"discovery.":[139]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2}],"updated_date":"2026-03-20T20:47:17.329874","created_date":"2025-10-10T00:00:00"}
