ISSN Print: 0000-0000
ISSN Online: 0000-0000 Impact Factor 2021
(Based on Google scholar citation)
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i-manager's Journal on Data Science & Big Data Analytics (JDS)

Extracting Intelligence from Data

Aims and Scope

i-manager’s Journal on Data Science & Big Data Analytics aims to bring the best of research and innovations in the field of Data Science and Engineering and reveal the hidden patterns found in the data captured in very large databases with the precision of human intelligence. The Journal will bring bright ideas ignited in the young minds that will explore future opportunities in the area of data security, data intelligence, business intelligence, supply chain automation, industrial automation and fields that are yet to be envisioned. The Journal aims to provide a platform for academicians, researchers and students to expose the knowledge from the evolving domain of data science with fresh reviews, research experiment with new concepts in data modelling, case studies of successes in implementation of new technologies etc.


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Publication Ethics and Malpractice Statement

We follow stringent publication ethics, and plagiarized papers are not published, and are withdrawn at any stage of the publishing process. Plagiarism is not limited to the Results and Discussion sections; it can involve any part of the manuscript, including figures and tables, in which material is copied from another publication without attestation, reference, or permission.

Publication Ethics & Peer Review Policy

i-manager Publications follow transparent policies right from paper submission to publication through various well defined and time tested processes.

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Review Procedure

The Journal follows a double blind peer-review process. The submitted articles / research papers are reviewed by Professors/Educators in Engineering fields.

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For all copyright related queries contact info@imanagerpublications.com

Abstracting/Indexing

Overall Topics Covered

  • Blockchain and Data Authenticity

  • Stages and Components of Big Data

  • Exploratory Data Analysis

  • Big Data Life Cycle

  • Business Intelligence

  • Online Analytical Processing (OLAP) and Data Warehousing

  • Cognitive Analytics

  • Data Modelling and Visualization

  • DevOps for Data Science

  • Hadoop

  • Data Mesh

  • Predictive Analysis and Prescriptive Analytics

  • Unstructured Data and Natural Language Processing

  • System Dynamics Simulation

  • Image and Video Analytics

  • Econometrics

  • FinTech and Modern Banking

  • Probabilistic Graphical Models

  • Text Mining and Analytics

  • Bioinformatics

  • Geospatial Technology

  • Data-Centric AI

  • Metadata Driven Data Fabric

  • Data Visualization and Tableau