{"id":"https://openalex.org/W2053293685","doi":"https://doi.org/10.1145/2447481.2447492","title":"Extracting storm-centric characteristics from raw rainfall data for storm analysis and mining","display_name":"Extracting storm-centric characteristics from raw rainfall data for storm analysis and mining","publication_year":2012,"publication_date":"2012-11-06","ids":{"openalex":"https://openalex.org/W2053293685","doi":"https://doi.org/10.1145/2447481.2447492","mag":"2053293685"},"language":"en","primary_location":{"id":"doi:10.1145/2447481.2447492","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2447481.2447492","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 1st ACM SIGSPATIAL International Workshop on Analytics for Big Geospatial Data","raw_type":"proceedings-article"},"type":"conference-paper","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/A5065823780","display_name":"Kulsawasd Jitkajornwanich","orcid":"https://orcid.org/0000-0002-6926-7577"},"institutions":[{"id":"https://openalex.org/I189196454","display_name":"The University of Texas at Arlington","ror":"https://ror.org/019kgqr73","country_code":"US","type":"education","lineage":["https://openalex.org/I189196454"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kulsawasd Jitkajornwanich","raw_affiliation_strings":["Univ. of Texas at Arlington, Arlington, TX","University of Texas at Arlington, Arlington, TX"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Univ. of Texas at Arlington, Arlington, TX","institution_ids":["https://openalex.org/I189196454"]},{"raw_affiliation_string":"University of Texas at Arlington, Arlington, TX","institution_ids":["https://openalex.org/I189196454"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110444284","display_name":"Ramez Elmasri","orcid":null},"institutions":[{"id":"https://openalex.org/I189196454","display_name":"The University of Texas at Arlington","ror":"https://ror.org/019kgqr73","country_code":"US","type":"education","lineage":["https://openalex.org/I189196454"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ramez Elmasri","raw_affiliation_strings":["Univ. of Texas at Arlington, Arlington, TX","University of Texas at Arlington, Arlington, TX"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Univ. of Texas at Arlington, Arlington, TX","institution_ids":["https://openalex.org/I189196454"]},{"raw_affiliation_string":"University of Texas at Arlington, Arlington, TX","institution_ids":["https://openalex.org/I189196454"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042381710","display_name":"John McEnery","orcid":null},"institutions":[{"id":"https://openalex.org/I189196454","display_name":"The University of Texas at Arlington","ror":"https://ror.org/019kgqr73","country_code":"US","type":"education","lineage":["https://openalex.org/I189196454"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"John McEnery","raw_affiliation_strings":["Univ. of Texas at Arlington, Arlington, TX","University of Texas at Arlington, Arlington, TX"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Univ. of Texas at Arlington, Arlington, TX","institution_ids":["https://openalex.org/I189196454"]},{"raw_affiliation_string":"University of Texas at Arlington, Arlington, TX","institution_ids":["https://openalex.org/I189196454"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5084878734","display_name":"Chengkai Li","orcid":"https://orcid.org/0000-0002-1724-8278"},"institutions":[{"id":"https://openalex.org/I189196454","display_name":"The University of Texas at Arlington","ror":"https://ror.org/019kgqr73","country_code":"US","type":"education","lineage":["https://openalex.org/I189196454"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Chengkai Li","raw_affiliation_strings":["Univ. of Texas at Arlington, Arlington, TX","University of Texas at Arlington, Arlington, TX"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Univ. of Texas at Arlington, Arlington, TX","institution_ids":["https://openalex.org/I189196454"]},{"raw_affiliation_string":"University of Texas at Arlington, Arlington, TX","institution_ids":["https://openalex.org/I189196454"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I189196454"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"91","last_page":"99"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T14427","display_name":"Environmental Monitoring and Data Management","score":0.9987999796867371,"subfield":{"id":"https://openalex.org/subfields/1907","display_name":"Geology"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T14427","display_name":"Environmental Monitoring and Data Management","score":0.9987999796867371,"subfield":{"id":"https://openalex.org/subfields/1907","display_name":"Geology"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10330","display_name":"Hydrology and Watershed Management Studies","score":0.982699990272522,"subfield":{"id":"https://openalex.org/subfields/2312","display_name":"Water Science and Technology"},"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/T13650","display_name":"Computational Physics and Python Applications","score":0.9794999957084656,"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/storm","display_name":"Storm","score":0.9022120237350464},{"id":"https://openalex.org/keywords/raw-data","display_name":"Raw data","score":0.7144165635108948},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.578342616558075},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.5706645250320435},{"id":"https://openalex.org/keywords/precipitation","display_name":"Precipitation","score":0.5562809109687805},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.39948374032974243},{"id":"https://openalex.org/keywords/meteorology","display_name":"Meteorology","score":0.27218833565711975},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.09895411133766174}],"concepts":[{"id":"https://openalex.org/C105306849","wikidata":"https://www.wikidata.org/wiki/Q81054","display_name":"Storm","level":2,"score":0.9022120237350464},{"id":"https://openalex.org/C132964779","wikidata":"https://www.wikidata.org/wiki/Q2110223","display_name":"Raw data","level":2,"score":0.7144165635108948},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.578342616558075},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.5706645250320435},{"id":"https://openalex.org/C107054158","wikidata":"https://www.wikidata.org/wiki/Q25257","display_name":"Precipitation","level":2,"score":0.5562809109687805},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.39948374032974243},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.27218833565711975},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.09895411133766174},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2447481.2447492","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2447481.2447492","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 1st ACM SIGSPATIAL International Workshop on Analytics for Big Geospatial Data","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5600000023841858,"display_name":"Climate action","id":"https://metadata.un.org/sdg/13"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W46521547","https://openalex.org/W570308762","https://openalex.org/W581415097","https://openalex.org/W1514577067","https://openalex.org/W1515779319","https://openalex.org/W1532064934","https://openalex.org/W1564840924","https://openalex.org/W1573524171","https://openalex.org/W2000945992","https://openalex.org/W2102592963","https://openalex.org/W2146211049","https://openalex.org/W2222553525","https://openalex.org/W2259629736","https://openalex.org/W2751199251","https://openalex.org/W2989202690","https://openalex.org/W6616187204","https://openalex.org/W6631716120","https://openalex.org/W6992876340"],"related_works":["https://openalex.org/W2364982659","https://openalex.org/W2999352024","https://openalex.org/W2035969729","https://openalex.org/W2350173077","https://openalex.org/W2487722720","https://openalex.org/W1992943688","https://openalex.org/W2358981970","https://openalex.org/W3012838233","https://openalex.org/W2377189769","https://openalex.org/W2094276481"],"abstract_inverted_index":{"Most":[0],"rainfall":[1,34,56],"data":[2,21,35,48,57,80,135],"is":[3,22,52,63,81,115],"stored":[4,65],"in":[5,66,133],"formats":[6],"that":[7,39,130,162],"are":[8,111,131],"not":[9],"easy":[10,71],"to":[11,30,53,171],"analyze":[12,151],"and":[13,43,45,73,113,120,167],"mine.":[14],"In":[15,24],"these":[16,145],"formats,":[17],"the":[18,32,47,78,86,89,95,127,158,164,173],"amount":[19],"of":[20,77,85,88,98,154,160],"enormous.":[23],"this":[25],"paper,":[26],"we":[27,138],"propose":[28],"techniques":[29],"summarize":[31],"raw":[33,55,90],"into":[36,58],"a":[37,67,99,105],"model":[38],"facilitates":[40],"storm":[41,79,106,140,148,166,175],"analysis":[42,72],"mining,":[44],"reduces":[46],"size.":[49],"The":[50,75],"result":[51],"convert":[54],"meaningful":[59],"storm-centric":[60],"data,":[61],"which":[62],"then":[64],"relational":[68],"database":[69],"for":[70,126],"mining.":[74],"size":[76,87],"less":[82],"than":[83],"1%":[84],"data.":[91],"We":[92,122],"can":[93],"determine":[94],"spatio-temporal":[96],"characteristics":[97],"storm,":[100],"such":[101],"as":[102],"how":[103,108],"big":[104],"is,":[107],"many":[109],"sites":[110,156],"covered,":[112],"what":[114],"its":[116],"overall":[117,174],"depth":[118],"(precipitation)":[119],"duration.":[121],"present":[123],"formal":[124],"definitions":[125],"storm-related":[128],"concepts":[129],"needed":[132],"our":[134],"conversion.":[136],"Then":[137],"describe":[139],"identification":[141,149],"algorithms":[142,150],"based":[143],"on":[144],"concepts.":[146],"Our":[147],"precipitation":[152],"values":[153],"adjacent":[155],"within":[157],"period":[159],"time":[161],"covers":[163],"whole":[165],"combines":[168],"them":[169],"together":[170],"identify":[172],"characteristics.":[176]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":3},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
