View in EDS PDF Full Text

An Extensive Review of Machine Learning Techniques Applied to the Stock Market.

Saved in:
Bibliographic Details
Title: An Extensive Review of Machine Learning Techniques Applied to the Stock Market.
Authors: Malik, Anu1
Source: International Journal of Computer Science & Management Studies; Jan2026, Vol. 48 Issue 1, p1-3, 3p
Database: Applied Science & Technology Source
FullText Links:
  – Type: pdflink
Text:
  Availability: 0
Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 191881981
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: An Extensive Review of Machine Learning Techniques Applied to the Stock Market.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AU" term="%22Malik%2C+Anu%22">Malik, Anu</searchLink><relatesTo>1</relatesTo>
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Computer+Science+%26+Management+Studies%22">International Journal of Computer Science & Management Studies</searchLink>; Jan2026, Vol. 48 Issue 1, p1-3, 3p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=191881981
RecordInfo BibRecord:
  BibEntity:
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 3
        StartPage: 1
    Titles:
      – TitleFull: An Extensive Review of Machine Learning Techniques Applied to the Stock Market.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Malik, Anu
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 01
              Text: Jan2026
              Type: published
              Y: 2026
          Identifiers:
            – Type: issn-print
              Value: 22315268
          Numbering:
            – Type: volume
              Value: 48
            – Type: issue
              Value: 1
          Titles:
            – TitleFull: International Journal of Computer Science & Management Studies
              Type: main
ResultId 1