The International Research Conference Aims and Objectives
The International Research Conference is a federated organization dedicated to bringing together a significant number of diverse scholarly events for presentation
within the conference program. Events will run over a span of time during the conference depending on the number and length of the presentations.
With its high quality, it provides an exceptional value for students, academics and industry researchers.
International Conference on Statistics and Data Science
aims to bring together leading academic scientists, researchers and research scholars to exchange and share their experiences and research results on all aspects of
Statistics and Data Science.
It also provides a premier interdisciplinary platform for researchers, practitioners and educators to present and discuss the most recent innovations,
trends, and concerns as well as practical challenges encountered and solutions adopted in the fields of Statistics and Data Science.
Call for Contributions
Prospective authors are kindly encouraged to contribute to and help shape the conference through submissions of their research abstracts, papers and e-posters.
Also, high quality research contributions describing original and unpublished results of conceptual, constructive, empirical, experimental, or
theoretical work in all areas of Statistics and Data Science are cordially invited for presentation at the conference.
The conference solicits contributions of abstracts, papers and e-posters that address themes and topics of the conference, including figures, tables and references of
novel research materials.
Guidelines for Authors
Please ensure your submission meets the conference's strict guidelines for accepting scholarly papers.
Downloadable versions of the check list for
Full-Text Papers and
Abstract Papers.
Please refer to the
Paper Submission Guideline,
Abstract Submission Guideline and
Author Information
before submitting your paper.
Conference Proceedings
All submitted conference papers will be blind peer reviewed by three competent reviewers.
The peer-reviewed conference proceedings are indexed in the Open Science Index,
Google Scholar,
Semantic Scholar,
Zenedo,
BASE,
WorldCAT,
Sherpa/RoMEO,
and other index databases. Impact Factor Indicators.
Special Journal Issues
19. International Conference on Statistics and Data Science has teamed up with the Special Journal Issue on
Statistics and Data Science.
A number of selected high-impact full text papers will also be considered for the special journal issues.
All submitted papers will have the opportunity to be considered for this Special Journal Issue.
The paper selection will be carried out during the peer review process as well as at the conference presentation stage.
Submitted papers must not be under consideration by any other journal or publication.
The final decision for paper selection will be made based on peer review reports by the Guest Editors and the Editor-in-Chief jointly.
Selected full-text papers will be published online free of charge.
Conference Sponsor and Exhibitor Opportunities
The Conference offers the opportunity to become a conference sponsor or exhibitor.
To participate as a sponsor or exhibitor, please download and complete the
Conference Sponsorship Request Form.
Selected Papers
-
Privacy Concerns and Law Enforcement Data Collection to Tackle Domestic and Sexual Violence
Francesca Radice
-
Risk and Impact of the COVID-19 Crisis on Real Estate
Tahmina Akhter
-
Designing Social Care Plans Considering Cause-Effect Relationships: A Study in Scotland
Sotirios N. Raptis
-
Ensemble Approach for Predicting Student's Academic Performance
L. A. Muhammad, M. S. Argungu
-
Malaria Prone Zones of West Bengal: A Spatio-Temporal Scenario
Meghna Maiti, Utpal Roy
-
Analyzing Factors Impacting COVID-19 Vaccination Rates
Dongseok Cho, Mitchell Driedger, Sera Han, Noman Khan, Mohammed Elmorsy, Mohamad El-Hajj
-
Comparison of Bayesian and Regression Schemes to Model Public Health Services
Sotirios Raptis
-
Forecasting 24-Hour Ahead Electricity Load Using Time Series Models
Ramin Vafadary, Maryam Khanbaghi
-
Designing Social Care Policies in the Long Term: A Study Using Regression, Clustering and Backpropagation Neural Nets
Sotirios Raptis
-
Outage Capacity Analysis for Next Generation Wireless Communication Using Non-Orthogonal Multiple Access
Md. Sohidul Islam, Ahmad Fartheen Khan
-
Building an Integrated Relational Database from Swiss Nutrition National Survey and Swiss Health Datasets for Data Mining Purposes
Ilona Mewes, Helena Jenzer, Farshideh Einsele
-
Efficient Pre-Processing of Single-Cell Assay for Transposase Accessible Chromatin with High-Throughput Sequencing Data
Fan Gao, Lior Pachter
-
Machine Learning Facing Behavioral Noise Problem in an Imbalanced Data Using One Side Behavioral Noise Reduction: Application to a Fraud Detection
Salma El Hajjami, Jamal Malki, Alain Bouju, Mohammed Berrada
-
Integration of Educational Data Mining Models to a Web-Based Support System for Predicting High School Student Performance
Sokkhey Phauk, Takeo Okazaki
-
A Review and Comparative Analysis on Cluster Ensemble Methods
S. Sarumathi, P. Ranjetha, C. Saraswathy, M. Vaishnavi, S. Geetha
Digital Program consists of the e-proceedings book which is available online-only
and includes the conference communications (proceedings abstracts and papers).
Registered participants can access the digitally available conference
proceedings ( and certificates ) by visiting their profile pages.
Statistics
Applied statistics
Biostatistics and bioinformatics
Business statistics
Computational statistics
Data mining
Econometrics
Environmental statistics
Industrial statistics
Industrial quality control
Mathematical statistics
Modeling and simulation
Operations research
Probability
Quantitative methods
Abstracts/Full-Text Paper Submission Deadline |
|
November 28, 2024 |
Notification of Acceptance/Rejection |
|
December 12, 2024 |
Final Paper (Camera Ready) Submission & Early Bird Registration Deadline |
|
December 14, 2024 |
Conference Dates |
|
January 16-17, 2025 |