{"id":"https://openalex.org/W4381735123","doi":"https://doi.org/10.1007/978-3-031-36402-0_23","title":"Evaluating the Performance of Diverse Machine Learning Approaches in Stock Market Forecasting","display_name":"Evaluating the Performance of Diverse Machine Learning Approaches in Stock Market Forecasting","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4381735123","doi":"https://doi.org/10.1007/978-3-031-36402-0_23"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-031-36402-0_23","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-031-36402-0_23","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"type":"book-chapter","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/A5102526799","display_name":"Bharath Raj Anand Kumar","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Bharath Raj Anand Kumar","raw_affiliation_strings":["Great Learning, Bangalore, India"],"affiliations":[{"raw_affiliation_string":"Great Learning, Bangalore, India","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5104263136","display_name":"Sheetal Katiyar","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sheetal Katiyar","raw_affiliation_strings":["Great Learning, Bangalore, India"],"affiliations":[{"raw_affiliation_string":"Great Learning, Bangalore, India","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5092242106","display_name":"Prasanth Lingada","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Prasanth Lingada","raw_affiliation_strings":["Great Learning, Bangalore, India"],"affiliations":[{"raw_affiliation_string":"Great Learning, Bangalore, India","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5092242107","display_name":"Karunakar Mattaparthi","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Karunakar Mattaparthi","raw_affiliation_strings":["Great Learning, Bangalore, India"],"affiliations":[{"raw_affiliation_string":"Great Learning, Bangalore, India","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032451496","display_name":"Ranjay Krishna","orcid":"https://orcid.org/0000-0001-8784-2531"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"R. Krishna","raw_affiliation_strings":["Great Learning, Bangalore, India"],"affiliations":[{"raw_affiliation_string":"Great Learning, Bangalore, India","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113714170","display_name":"Gnana Prakash","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Gnana Prakash","raw_affiliation_strings":["Great Learning, Bangalore, India"],"affiliations":[{"raw_affiliation_string":"Great Learning, Bangalore, India","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5092242108","display_name":"Dileep Vuppaladhadiam","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Dileep Vuppaladhadiam","raw_affiliation_strings":["Great Learning, Bangalore, India"],"affiliations":[{"raw_affiliation_string":"Great Learning, Bangalore, India","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063846597","display_name":"Narayana Darapaneni","orcid":null},"institutions":[{"id":"https://openalex.org/I111979921","display_name":"Northwestern University","ror":"https://ror.org/000e0be47","country_code":"US","type":"education","lineage":["https://openalex.org/I111979921"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Narayana Darapaneni","raw_affiliation_strings":["Northwestern University/Great Learning, Evanston, IL, USA"],"affiliations":[{"raw_affiliation_string":"Northwestern University/Great Learning, Evanston, IL, USA","institution_ids":["https://openalex.org/I111979921"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5037489793","display_name":"Anwesh Reddy Paduri","orcid":"https://orcid.org/0000-0001-8392-4329"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Anwesh Reddy Paduri","raw_affiliation_strings":["Great Learning, Bangalore, India"],"affiliations":[{"raw_affiliation_string":"Great Learning, Bangalore, India","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":9,"corresponding_author_ids":["https://openalex.org/A5037489793"],"corresponding_institution_ids":[],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":1.0964,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.78529692,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"255","last_page":"264"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11326","display_name":"Stock Market Forecasting Methods","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9976999759674072,"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":0.9912999868392944,"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/computer-science","display_name":"Computer science","score":0.7433015704154968},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.7100977301597595},{"id":"https://openalex.org/keywords/autoregressive-integrated-moving-average","display_name":"Autoregressive integrated moving average","score":0.686975359916687},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6443355083465576},{"id":"https://openalex.org/keywords/stock-market","display_name":"Stock market","score":0.5720306634902954},{"id":"https://openalex.org/keywords/mean-absolute-percentage-error","display_name":"Mean absolute percentage error","score":0.5583457946777344},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.5576030015945435},{"id":"https://openalex.org/keywords/lagging","display_name":"Lagging","score":0.5400920510292053},{"id":"https://openalex.org/keywords/outlier","display_name":"Outlier","score":0.51457279920578},{"id":"https://openalex.org/keywords/collinearity","display_name":"Collinearity","score":0.44019004702568054},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4344760775566101},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.4032946527004242},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.3687772750854492},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.18524286150932312},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10434457659721375}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7433015704154968},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.7100977301597595},{"id":"https://openalex.org/C24338571","wikidata":"https://www.wikidata.org/wiki/Q2566298","display_name":"Autoregressive integrated moving average","level":3,"score":0.686975359916687},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6443355083465576},{"id":"https://openalex.org/C2780299701","wikidata":"https://www.wikidata.org/wiki/Q475000","display_name":"Stock market","level":3,"score":0.5720306634902954},{"id":"https://openalex.org/C150217764","wikidata":"https://www.wikidata.org/wiki/Q6803607","display_name":"Mean absolute percentage error","level":3,"score":0.5583457946777344},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.5576030015945435},{"id":"https://openalex.org/C2776962539","wikidata":"https://www.wikidata.org/wiki/Q6472078","display_name":"Lagging","level":2,"score":0.5400920510292053},{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.51457279920578},{"id":"https://openalex.org/C106192678","wikidata":"https://www.wikidata.org/wiki/Q1419761","display_name":"Collinearity","level":2,"score":0.44019004702568054},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4344760775566101},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.4032946527004242},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.3687772750854492},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.18524286150932312},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10434457659721375},{"id":"https://openalex.org/C2780762169","wikidata":"https://www.wikidata.org/wiki/Q5905368","display_name":"Horse","level":2,"score":0.0},{"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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/978-3-031-36402-0_23","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-031-36402-0_23","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W2181470532","https://openalex.org/W2510046892","https://openalex.org/W2542080616","https://openalex.org/W2561559620","https://openalex.org/W2806777472","https://openalex.org/W2938308298","https://openalex.org/W3016720366","https://openalex.org/W3017193407","https://openalex.org/W3021878908","https://openalex.org/W3114460980","https://openalex.org/W3159516457","https://openalex.org/W3181448069","https://openalex.org/W4221090139"],"related_works":["https://openalex.org/W3139222185","https://openalex.org/W2115811963","https://openalex.org/W2953369890","https://openalex.org/W4379469318","https://openalex.org/W4309504760","https://openalex.org/W1767322088","https://openalex.org/W2989181651","https://openalex.org/W74935964","https://openalex.org/W2056376122","https://openalex.org/W4309705351"],"abstract_inverted_index":null,"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-01-23T23:20:30.427331","created_date":"2025-10-10T00:00:00"}