{"id":"https://openalex.org/W4205992160","doi":"https://doi.org/10.1145/3493700.3493725","title":"Towards Context-based Model Selection for Improved Crop Price Forecasting","display_name":"Towards Context-based Model Selection for Improved Crop Price Forecasting","publication_year":2022,"publication_date":"2022-01-07","ids":{"openalex":"https://openalex.org/W4205992160","doi":"https://doi.org/10.1145/3493700.3493725"},"language":"en","primary_location":{"id":"doi:10.1145/3493700.3493725","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3493700.3493725","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 5th Joint International Conference on Data Science & Management of Data (9th ACM IKDD CODS and 27th COMAD)","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/A5101550645","display_name":"Ayush Jain","orcid":"https://orcid.org/0000-0003-1411-2356"},"institutions":[{"id":"https://openalex.org/I4210103279","display_name":"IBM Research - India","ror":"https://ror.org/014wt7r80","country_code":"IN","type":"facility","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210103279","https://openalex.org/I4210114115"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Ayush Jain","raw_affiliation_strings":["IBM Research India, IN"],"affiliations":[{"raw_affiliation_string":"IBM Research India, IN","institution_ids":["https://openalex.org/I4210103279"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027405166","display_name":"Smit Marvaniya","orcid":"https://orcid.org/0000-0002-7452-9068"},"institutions":[{"id":"https://openalex.org/I4210103279","display_name":"IBM Research - India","ror":"https://ror.org/014wt7r80","country_code":"IN","type":"facility","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210103279","https://openalex.org/I4210114115"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Smit Marvaniya","raw_affiliation_strings":["IBM Research India, IN"],"affiliations":[{"raw_affiliation_string":"IBM Research India, IN","institution_ids":["https://openalex.org/I4210103279"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033214720","display_name":"Shantanu Godbole","orcid":"https://orcid.org/0009-0001-7071-9438"},"institutions":[{"id":"https://openalex.org/I4210103279","display_name":"IBM Research - India","ror":"https://ror.org/014wt7r80","country_code":"IN","type":"facility","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210103279","https://openalex.org/I4210114115"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Shantanu Godbole","raw_affiliation_strings":["IBM Research India, IN"],"affiliations":[{"raw_affiliation_string":"IBM Research India, IN","institution_ids":["https://openalex.org/I4210103279"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5011547127","display_name":"Vitobha Munigala","orcid":null},"institutions":[{"id":"https://openalex.org/I4210103279","display_name":"IBM Research - India","ror":"https://ror.org/014wt7r80","country_code":"IN","type":"facility","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210103279","https://openalex.org/I4210114115"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Vitobha Munigala","raw_affiliation_strings":["IBM Research India, IN"],"affiliations":[{"raw_affiliation_string":"IBM Research India, IN","institution_ids":["https://openalex.org/I4210103279"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5101550645"],"corresponding_institution_ids":["https://openalex.org/I4210103279"],"apc_list":null,"apc_paid":null,"fwci":0.8185,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.73464316,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"195","last_page":"203"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11326","display_name":"Stock Market Forecasting Methods","score":0.9987000226974487,"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"}},"topics":[{"id":"https://openalex.org/T11326","display_name":"Stock Market Forecasting Methods","score":0.9987000226974487,"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"}},{"id":"https://openalex.org/T11918","display_name":"Forecasting Techniques and Applications","score":0.9909999966621399,"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"}},{"id":"https://openalex.org/T11052","display_name":"Energy Load and Power Forecasting","score":0.973800003528595,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"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/context","display_name":"Context (archaeology)","score":0.6898831129074097},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6232156157493591},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.49637871980667114},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.41970717906951904},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.4113207757472992},{"id":"https://openalex.org/keywords/economics","display_name":"Economics","score":0.2993585765361786},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.09396520256996155}],"concepts":[{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6898831129074097},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6232156157493591},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.49637871980667114},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.41970717906951904},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.4113207757472992},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.2993585765361786},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.09396520256996155},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3493700.3493725","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3493700.3493725","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 5th Joint International Conference on Data Science & Management of Data (9th ACM IKDD CODS and 27th COMAD)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1885899143","https://openalex.org/W1987967699","https://openalex.org/W1993220086","https://openalex.org/W2052284731","https://openalex.org/W2082365972","https://openalex.org/W2117014758","https://openalex.org/W2125135337","https://openalex.org/W2126368942","https://openalex.org/W2742473260","https://openalex.org/W2777265487","https://openalex.org/W2903854080","https://openalex.org/W2971724044","https://openalex.org/W2980994438","https://openalex.org/W2981027960","https://openalex.org/W3005102752","https://openalex.org/W4236105139"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W2382290278","https://openalex.org/W2350741829","https://openalex.org/W2530322880","https://openalex.org/W1596801655","https://openalex.org/W2359140296"],"abstract_inverted_index":{"Accuracy":[0],"of":[1,55,60,82,123,168],"crop":[2,39,95,107,131,162],"price":[3,96,108,118],"forecasting":[4,86,208],"techniques":[5,103],"plays":[6],"an":[7],"important":[8],"role":[9],"in":[10,75,94,98,161,192],"enabling":[11],"the":[12,38,73,76,80,166,169,197],"supply":[13],"chain":[14],"planners":[15],"and":[16,30,84,119,133,187,194],"government":[17],"bodies":[18],"to":[19,50,68,104,156,206],"take":[20],"necessary":[21],"actions":[22],"by":[23,140],"estimating":[24],"market":[25,120],"factors":[26],"such":[27,35,69,92,114],"as":[28,36,115],"demand":[29],"supply.":[31],"In":[32,66],"emerging":[33],"economies":[34],"India,":[37],"prices":[40,77],"at":[41],"marketplaces":[42,191],"are":[43],"manually":[44],"entered,":[45],"which":[46],"can":[47],"be":[48],"prone":[49,71],"human-induced":[51],"errors":[52],"like":[53],"entry":[54,59],"incorrect":[56],"data":[57,62,128,136],"or":[58],"no":[61],"for":[63,189],"many":[64],"days.":[65],"addition":[67],"human":[70],"errors,":[72],"fluctuations":[74,160],"itself":[78],"make":[79],"creation":[81],"stable":[83],"robust":[85,106],"solution":[87],"a":[88,147],"challenging":[89],"task.":[90],"Considering":[91],"complexities":[93],"forecasting,":[97],"this":[99],"paper,":[100],"we":[101,145,172],"present":[102],"build":[105],"prediction":[109],"models":[110],"considering":[111],"various":[112],"features":[113,138],"(i)":[116],"historical":[117,126],"arrival":[121],"quantity":[122],"crops,":[124],"(ii)":[125],"weather":[127],"that":[129,196],"influence":[130],"production":[132],"transportation,":[134],"(iii)":[135],"quality-related":[137],"obtained":[139],"performing":[141],"statistical":[142],"analysis.":[143],"Furthermore,":[144],"propose":[146],"crop-specific":[148],"context-based":[149],"model":[150],"selection":[151],"strategy":[152],"using":[153,176],"trend":[154],"analysis":[155],"deal":[157],"with":[158],"high":[159],"prices.":[163],"To":[164],"show":[165,173],"efficacy":[167],"proposed":[170,198],"approach,":[171],"experimental":[174],"results":[175],"two":[177,183],"different":[178],"time-series":[179],"feature":[180],"representations":[181],"on":[182],"crops":[184],"-":[185],"Tomato":[186],"Maize":[188],"14":[190],"India":[193],"demonstrate":[195],"approach":[199],"provides":[200],"improved":[201],"accuracy":[202],"metrics":[203],"when":[204],"compared":[205],"standard":[207],"techniques.":[209]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}