{"id":"https://openalex.org/W4403534720","doi":"https://doi.org/10.1109/codit62066.2024.10708156","title":"Pred-IFDSS : An Intelligent Financial Decision Support System Based On Machine Learning Models","display_name":"Pred-IFDSS : An Intelligent Financial Decision Support System Based On Machine Learning Models","publication_year":2024,"publication_date":"2024-07-01","ids":{"openalex":"https://openalex.org/W4403534720","doi":"https://doi.org/10.1109/codit62066.2024.10708156"},"language":"en","primary_location":{"id":"doi:10.1109/codit62066.2024.10708156","is_oa":false,"landing_page_url":"https://doi.org/10.1109/codit62066.2024.10708156","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 10th International Conference on Control, Decision and Information Technologies (CoDIT)","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/A5093346088","display_name":"Zakia Zouaghia","orcid":"https://orcid.org/0000-0002-3102-6559"},"institutions":[{"id":"https://openalex.org/I108714496","display_name":"Tunis University","ror":"https://ror.org/02q1spa57","country_code":"TN","type":"education","lineage":["https://openalex.org/I108714496"]}],"countries":["TN"],"is_corresponding":true,"raw_author_name":"Zakia Zouaghia","raw_affiliation_strings":["University of Tunis,ISG Tunis, SMART Lab,Tunisia"],"affiliations":[{"raw_affiliation_string":"University of Tunis,ISG Tunis, SMART Lab,Tunisia","institution_ids":["https://openalex.org/I108714496"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005905566","display_name":"Zahra Kodia","orcid":"https://orcid.org/0000-0002-1872-9364"},"institutions":[{"id":"https://openalex.org/I108714496","display_name":"Tunis University","ror":"https://ror.org/02q1spa57","country_code":"TN","type":"education","lineage":["https://openalex.org/I108714496"]}],"countries":["TN"],"is_corresponding":false,"raw_author_name":"Zahra Kodia","raw_affiliation_strings":["University of Tunis,ISG Tunis, SMART Lab,Tunisia"],"affiliations":[{"raw_affiliation_string":"University of Tunis,ISG Tunis, SMART Lab,Tunisia","institution_ids":["https://openalex.org/I108714496"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5028612749","display_name":"Lamjed Ben Sa\u00efd","orcid":"https://orcid.org/0000-0001-9225-884X"},"institutions":[{"id":"https://openalex.org/I108714496","display_name":"Tunis University","ror":"https://ror.org/02q1spa57","country_code":"TN","type":"education","lineage":["https://openalex.org/I108714496"]}],"countries":["TN"],"is_corresponding":false,"raw_author_name":"Lamjed Ben Said","raw_affiliation_strings":["University of Tunis,ISG Tunis, SMART Lab,Tunisia"],"affiliations":[{"raw_affiliation_string":"University of Tunis,ISG Tunis, SMART Lab,Tunisia","institution_ids":["https://openalex.org/I108714496"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5093346088"],"corresponding_institution_ids":["https://openalex.org/I108714496"],"apc_list":null,"apc_paid":null,"fwci":2.002,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.87643783,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"67","last_page":"72"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11326","display_name":"Stock Market Forecasting Methods","score":0.8411999940872192,"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":0.8411999940872192,"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/computer-science","display_name":"Computer science","score":0.6167987585067749},{"id":"https://openalex.org/keywords/decision-support-system","display_name":"Decision support system","score":0.5937523245811462},{"id":"https://openalex.org/keywords/intelligent-decision-support-system","display_name":"Intelligent decision support system","score":0.5157890319824219},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4509612023830414},{"id":"https://openalex.org/keywords/decision-system","display_name":"Decision system","score":0.41067689657211304},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4026850163936615},{"id":"https://openalex.org/keywords/operations-research","display_name":"Operations research","score":0.16246241331100464},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.13519194722175598}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6167987585067749},{"id":"https://openalex.org/C107327155","wikidata":"https://www.wikidata.org/wiki/Q330268","display_name":"Decision support system","level":2,"score":0.5937523245811462},{"id":"https://openalex.org/C56397880","wikidata":"https://www.wikidata.org/wiki/Q6044094","display_name":"Intelligent decision support system","level":2,"score":0.5157890319824219},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4509612023830414},{"id":"https://openalex.org/C2986909951","wikidata":"https://www.wikidata.org/wiki/Q330268","display_name":"Decision system","level":2,"score":0.41067689657211304},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4026850163936615},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.16246241331100464},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.13519194722175598}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/codit62066.2024.10708156","is_oa":false,"landing_page_url":"https://doi.org/10.1109/codit62066.2024.10708156","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 10th International Conference on Control, Decision and Information Technologies (CoDIT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.7099999785423279}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W1969091622","https://openalex.org/W2005424446","https://openalex.org/W2005570377","https://openalex.org/W2007358469","https://openalex.org/W2064675550","https://openalex.org/W2157331557","https://openalex.org/W2182617889","https://openalex.org/W2595326376","https://openalex.org/W2774513877","https://openalex.org/W2794343888","https://openalex.org/W2911608625","https://openalex.org/W2971349717","https://openalex.org/W3045338483","https://openalex.org/W3094685967","https://openalex.org/W3103699767","https://openalex.org/W3123507475","https://openalex.org/W3135141542","https://openalex.org/W3159982581","https://openalex.org/W3196022242","https://openalex.org/W3202315245","https://openalex.org/W4317653601","https://openalex.org/W4385420496","https://openalex.org/W4389042783","https://openalex.org/W4393278868","https://openalex.org/W6686054988","https://openalex.org/W6792237484","https://openalex.org/W6941068339"],"related_works":["https://openalex.org/W2146681077","https://openalex.org/W2389502773","https://openalex.org/W1971651576","https://openalex.org/W2380049256","https://openalex.org/W2362343073","https://openalex.org/W2093519970","https://openalex.org/W1597645084","https://openalex.org/W2372918149","https://openalex.org/W2785200844","https://openalex.org/W2387017739"],"abstract_inverted_index":{"Financial":[0],"markets":[1],"operate":[2],"as":[3,15],"dynamic":[4],"systems":[5],"susceptible":[6],"to":[7,21,31,45,60,177],"ongoing":[8],"changes":[9],"influenced":[10],"by":[11],"recent":[12],"crises,":[13],"such":[14],"geopolitical":[16],"and":[17,109,125,138,155,173,188],"health":[18],"crises.":[19],"Due":[20],"these":[22,145],"factors,":[23],"investor":[24],"uncertainty":[25],"has":[26],"increased,":[27],"making":[28,189],"it":[29,176],"challenging":[30],"identify":[32],"trends":[33,183],"in":[34,167,180,184],"the":[35,62,120,142,160,164,190],"stock":[36,39,70,132,185],"markets.":[37],"Predicting":[38],"market":[40,71,133,186],"prices":[41,187],"enhances":[42],"investors\u2019":[43],"ability":[44],"make":[46],"accurate":[47,66],"investment":[48,192],"decisions.":[49,193],"This":[50],"paper":[51],"proposes":[52],"an":[53],"intelligent":[54],"financial":[55],"system":[56],"named":[57],"Pred-IFDSS,":[58],"aiming":[59],"recommend":[61,175],"best":[63],"model":[64,116,169],"for":[65],"predictions":[67],"of":[68,144,159],"future":[69,182],"indexes.":[72],"Pred-IFDSS":[73],"includes":[74],"seven":[75],"machine":[76],"learning":[77],"models:":[78],"(1)":[79],"Linear":[80],"Regression":[81,86],"(LR),":[82],"(2)":[83],"Support":[84],"Vector":[85],"(SVR),":[87],"(3)":[88],"eXtreme":[89],"Gradient":[90],"Boosting":[91],"(XGBoost),":[92],"(4)":[93],"Simple":[94],"Recurrent":[95,101],"Neural":[96,112],"Network":[97,113],"(SRNN),":[98],"(5)":[99],"Gated":[100],"Unit":[102],"(GRU),":[103],"(6)":[104],"Long":[105],"Short-Term":[106],"Memory":[107],"(LSTM),":[108],"(7)":[110],"Artificial":[111],"(ANN).":[114],"Each":[115],"is":[117,170],"tuned":[118],"using":[119],"grid":[121],"search":[122],"strategy,":[123],"trained,":[124],"evaluated.":[126],"Experiments":[127],"are":[128,151],"conducted":[129],"on":[130],"three":[131,147],"indexes":[134],"(NASDAQ,":[135],"S&P":[136],"500,":[137],"NYSE).":[139],"To":[140],"measure":[141],"performance":[143],"models,":[146],"standard":[148],"strategic":[149],"indicators":[150],"employed":[152],"(MSE,":[153],"RMSE,":[154],"MAE).":[156],"The":[157],"outcomes":[158],"experiments":[161],"demonstrate":[162],"that":[163],"error":[165],"rate":[166],"SRNN":[168],"very":[171],"low,":[172],"we":[174],"assist":[178],"investors":[179],"foreseeing":[181],"right":[191]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":2}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}
