{"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","doi":"https://doi.org/10.1109/codit62066.2024.10708156","is_oa":false,"landing_page_url":"https://doi.org/10.1109/codit62066.2024.10708156","pdf_url":null,"source":{"id":"https://openalex.org/S4363607900","display_name":"International Conference on Control, Decision and Information Technologies (CoDIT)","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":"2024 10th International Conference on Control, Decision and Information Technologies (CoDIT)","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/A5093346088","display_name":"Zakia Zouaghia","orcid":"https://orcid.org/0000-0002-3102-6559","observed_orcids":["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":false,"raw_author_name":"Zakia Zouaghia","raw_affiliation_strings":["University of Tunis,ISG Tunis, SMART Lab,Tunisia"],"raw_orcid":null,"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","observed_orcids":["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"],"raw_orcid":null,"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","observed_orcids":["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"],"raw_orcid":null,"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":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I108714496"],"apc_list":null,"apc_paid":null,"fwci":3.1911,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.92355083,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":93,"max":98},"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":1.0,"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":1.0,"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/T10047","display_name":"Financial Markets and Investment Strategies","score":0.0,"subfield":{"id":"https://openalex.org/subfields/2003","display_name":"Finance"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11918","display_name":"Forecasting Techniques and Applications","score":0.0,"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/stock-index-forecasting","display_name":"stock index forecasting","score":0.753000020980835},{"id":"https://openalex.org/keywords/financial-decision-support-systems","display_name":"financial decision support systems","score":0.9610000252723694},{"id":"https://openalex.org/keywords/nasdaq","display_name":"NASDAQ","score":0.6039999723434448},{"id":"https://openalex.org/keywords/s-p-500","display_name":"S&P 500","score":1.0},{"id":"https://openalex.org/keywords/new-york-stock-exchange","display_name":"New York Stock Exchange","score":0.9869999885559082},{"id":"https://openalex.org/keywords/recurrent-neural-networks","display_name":"recurrent neural networks","score":0.796999990940094},{"id":"https://openalex.org/keywords/simple-recurrent-neural-network","display_name":"simple recurrent neural network","score":0.7730000019073486},{"id":"https://openalex.org/keywords/gated-recurrent-unit","display_name":"gated recurrent unit","score":0.7609999775886536},{"id":"https://openalex.org/keywords/long-short-term-memory","display_name":"long short-term memory","score":0.9909999966621399},{"id":"https://openalex.org/keywords/support-vector-regression","display_name":"support vector regression","score":0.7749999761581421},{"id":"https://openalex.org/keywords/xgboost","display_name":"XGBoost","score":0.8539999723434448},{"id":"https://openalex.org/keywords/linear-regression","display_name":"linear regression","score":0.8399999737739563},{"id":"https://openalex.org/keywords/neural-network","display_name":"artificial neural networks","score":0.9449999928474426},{"id":"https://openalex.org/keywords/model-comparison","display_name":"model comparison","score":0.49900001287460327},{"id":"https://openalex.org/keywords/investment-decisions","display_name":"investment decision-making","score":0.6039999723434448}],"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","doi":"https://doi.org/10.1109/codit62066.2024.10708156","is_oa":false,"landing_page_url":"https://doi.org/10.1109/codit62066.2024.10708156","pdf_url":null,"source":{"id":"https://openalex.org/S4363607900","display_name":"International Conference on Control, Decision and Information Technologies (CoDIT)","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":"2024 10th International Conference on Control, Decision and Information Technologies (CoDIT)","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":25,"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/W2961197046","https://openalex.org/W2971349717","https://openalex.org/W3045338483","https://openalex.org/W3096765828","https://openalex.org/W3135141542","https://openalex.org/W3143344932","https://openalex.org/W3196022242","https://openalex.org/W3202315245","https://openalex.org/W3210087657","https://openalex.org/W4317653601","https://openalex.org/W4385420496","https://openalex.org/W4389042783","https://openalex.org/W4393278868","https://openalex.org/W6941068339"],"related_works":["https://openalex.org/W7119489560","https://openalex.org/W4224069192","https://openalex.org/W4391343059","https://openalex.org/W3159585841","https://openalex.org/W4411600385","https://openalex.org/W4414033237","https://openalex.org/W7155710147","https://openalex.org/W7160281227","https://openalex.org/W4406409490","https://openalex.org/W4396918597"],"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":4},{"year":2025,"cited_by_count":2}],"updated_date":"2026-11-10T11:39:43.021295","created_date":"2024-10-19T00:00:00"}