IAEME Publication
+6
2811-6201
Monthly
17.50
2021
9884798314
India
English
YES
Google Scholar
editor@iaeme.com
The International Journal of Data Science Research and Development (IJDSRD) is a distinguished open-access scholarly publication brought to you by IAEME Publication. It is exclusively devoted to the advancement of the field of data science. This journal serves as a medium for facilitating the exchange of cutting-edge research and practical applications within the realm of data science. IJDSRD embraces a wide spectrum of topics, spanning data mining, machine learning, big data analytics, statistical analysis, predictive analytics, natural language processing, data visualization, data privacy and security, as well as the real-world applications of data science. Through the publication of original research articles, reviews, and technical notes, IJDSRD actively contributes to the body of knowledge and understanding of data science methodologies. By providing a dedicated platform for the dissemination of high-quality research, IJDSRD aims to foster the growth and impact of data science across diverse domains. Aim: The primary aim of the International Journal of Data Science Research and Development (IJDSRD) is to advance the field of data science by: Promoting Cutting-Edge Research: IJDSRD aims to showcase and disseminate the latest research findings and innovations in data science, thus staying at the forefront of technological advancements and emerging trends in the field. Facilitating Knowledge Exchange: The journal provides a platform for researchers and practitioners to share insights, methodologies, and practical applications, fostering a dynamic and collaborative environment. Encompassing a Broad Spectrum: IJDSRD seeks to cover a comprehensive range of topics in data science, acknowledging its multidisciplinary nature and its significance in various domains.
Forecasting temporal events from high-dimensional sparse observational data presents significant challenges due to noise, confounding factors, and data sparsity. Traditional sequence models ...
The increasing reliance on data-driven models in the insurance industry underscores the need for effective solutions to address data privacy concerns and enhance model robustness. This resea...
This study utilizes the Chennai Housing Prices Dataset sourced from Kaggle to analyze the dynamics of the real estate market in Chennai. The dataset contains information on various housing a...
OJSCloud offers a complete, free setup to get you publishing.
Start Your Free Journal!Scholar9.com is a peer-review platform that hosts journals from across the globe. Please note that we do not own any of the journals hosted on the platform.
Our platform enables journal owners to send articles for peer review to users who have registered via https://scholar9.com/register and have consented to serve as reviewers for multiple journals. Additionally, we offer an indirect manuscript submission system for journals that are claimed and actively managed by their respective owners on Scholar9.com.
For accurate information about the indexing status of journals (in databases such as UGC CARE, Scopus, or Web of Science) and contact details, users must refer to the respective official websites.
Scholar9 is not responsible for indexing claims, manuscript acceptance/rejection, refunds of article processing charges, or any stage of the final publication process. Users are strongly advised to verify all information provided on the platform independently.
Scholar9.com disclaims liability for disputes related to indexing claims, publication decisions, or other journal-specific matters. Users are encouraged to contact the respective journal owners directly for detailed information and clarifications.