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International Journal of Data Scientist (IJDST)

Publisher :

IAEME Publication

Scopus Profile
Peer reviewed only
Scopus Profile
Open Access
  • Machine Learning Algorithms
  • Natural Language Processing (NLP)
  • Computer Vision

    • +9

e-ISSN :

1660-1544

Issue Frequency :

Monthly

Impact Factor :

5.50

Est. Year :

2024

Mobile :

9884798314

Country :

India

Language :

English

APC :

YES

Impact Factor Assignee :

Google Scholar

Email :

editor@iaeme.com

Journal Descriptions

International Journal of Data Scientist (IJDST) is specifically spotlights and honor the expertise, practical applications, and insights of professionals directly engaged in shaping the field of data science, underscoring their pivotal role within the broader discipline. Aim IJDST aims to serve as a pivotal catalyst driving the evolution and advancement of data science globally. Its primary objective is to curate, disseminate, and promote cutting-edge research findings, transformative insights, and innovative methodologies from data scientists worldwide. Scope The journal's scope encapsulates the multifaceted and dynamic landscape of data science. It provides a comprehensive platform for diverse contributions encompassing research, methodologies, and insightful perspectives from professionals across the global data science community. This inclusivity encourages exploration and innovation across various subfields and applications within data science.


International Journal of Data Scientist (IJDST) is :

International, Peer-Reviewed, Open Access, Refereed, Machine Learning Algorithms, Natural Language Processing (NLP), Computer Vision, Data Visualization and Interpretation, Ensemble Methods, Bayesian Methods, Sentiment Analysis, Marketing Analytics, Customer Segmentation, Geospatial Analysis, Financial Data Analysis, Graph Analytics , Online Monthly Journal

UGC Approved, ISSN Approved: P-ISSN , E-ISSN - 1660-1544, Established in - 2024, Impact Factor - 5.50

Not Provide Crossref DOI

Not indexed in Scopus, WoS, DOAJ, PubMed, UGC CARE

Indexing

Scopus Profile
Google Scholar

Publications of IJDST

  • dott image January, 2025

IMPORTANCE OF ROBUST DATA LINEAGE IN MODERN FINANCIAL SYSTEMS

Data lineage, the process of understanding, recording, and visualizing data flow from source to destination, has become an integral component of financial systems. In the financial sector, w...

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