Forecasting Unregistered Demand: A Behavioral Framework for Enterprise Predictive Analytics.

Saved in:
Bibliographic Details
Title: Forecasting Unregistered Demand: A Behavioral Framework for Enterprise Predictive Analytics.
Authors: Kumar, Shivendra, shivendra8949@gmail.com
Source: Journal of Computer Science & Technology Studies; 2025, Vol. 7 Issue 8, p683-691, 9p
Database: Applied Science & Technology Source
FullText Text:
  Availability: 0
Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 187387438
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Forecasting Unregistered Demand: A Behavioral Framework for Enterprise Predictive Analytics.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AU" term="%22Kumar%2C+Shivendra%22">Kumar, Shivendra</searchLink>, <i>shivendra8949@gmail.com</i>
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22Journal+of+Computer+Science+%26+Technology+Studies%22">Journal of Computer Science & Technology Studies</searchLink>; 2025, Vol. 7 Issue 8, p683-691, 9p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=187387438
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.32996/jcsts.2025.7.8.78
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 9
        StartPage: 683
    Titles:
      – TitleFull: Forecasting Unregistered Demand: A Behavioral Framework for Enterprise Predictive Analytics.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Kumar, Shivendra
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 15
              M: 07
              Text: 2025
              Type: published
              Y: 2025
          Identifiers:
            – Type: issn-print
              Value: 2709104X
          Numbering:
            – Type: volume
              Value: 7
            – Type: issue
              Value: 8
          Titles:
            – TitleFull: Journal of Computer Science & Technology Studies
              Type: main
ResultId 1