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 Sports Data Mining
aims to bring together leading academic scientists, researchers and research scholars to exchange and share their experiences and research results on all aspects of
Sports Data Mining.
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 Sports Data Mining.
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Also, high quality research contributions describing original and unpublished results of conceptual, constructive, empirical, experimental, or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 Sports Data Mining 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 Sports Data Mining has teamed up with the Special Journal Issue on
Sports Data Mining.
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
-
A Case Study to Observe How Students’ Perception of the Possibility of Success Impacts Their Performance in Summative Exams
Rochelle Elva
-
Privacy Concerns and Law Enforcement Data Collection to Tackle Domestic and Sexual Violence
Francesca Radice
-
Ensemble Approach for Predicting Student's Academic Performance
L. A. Muhammad, M. S. Argungu
-
Analyzing Factors Impacting COVID-19 Vaccination Rates
Dongseok Cho, Mitchell Driedger, Sera Han, Noman Khan, Mohammed Elmorsy, Mohamad El-Hajj
-
The Use of Artificial Intelligence in Digital Forensics and Incident Response in a Constrained Environment
Dipo Dunsin, Mohamed C. Ghanem, Karim Ouazzane
-
Building an Integrated Relational Database from Swiss Nutrition National Survey and Swiss Health Datasets for Data Mining Purposes
Ilona Mewes, Helena Jenzer, Farshideh Einsele
-
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
-
Destination Port Detection for Vessels: An Analytic Tool for Optimizing Port Authorities Resources
Lubna Eljabu, Mohammad Etemad, Stan Matwin
-
Author Profiling: Prediction of Learners’ Gender on a MOOC Platform Based on Learners’ Comments
Tahani Aljohani, Jialin Yu, Alexandra. I. Cristea
-
AniMoveMineR: Animal Behavior Exploratory Analysis Using Association Rules Mining
Suelane Garcia Fontes, Silvio Luiz Stanzani, Pedro L. Pizzigatti Corrła Ronaldo G. Morato
-
Ordinal Regression with Fenton-Wilkinson Order Statistics: A Case Study of an Orienteering Race
Joonas Pääkkönen
-
Association Rules Mining and NOSQL Oriented Document in Big Data
Sarra Senhadji, Imene Benzeguimi, Zohra Yagoub
-
From Electroencephalogram to Epileptic Seizures Detection by Using Artificial Neural Networks
Gaetano Zazzaro, Angelo Martone, Roberto V. Montaquila, Luigi Pavone
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.
Sports data mining
Data sources for sports
Research in sports statistics
Tools and systems for sports data analysis
Predictive modeling for sports and gaming
Multimedia and video analysis for sports
Web sports data extraction and visualization
Open source data mining tools for sports
Machine learning and data mining for sports analytics
Computer science in sport
Modelling, analysis and simulation of interaction and performance in sports
Informatics and analytics in sport contexts
Pattern recognition in data with a supervised learning task
Technological innovations in the monitoring of performance
Sports statistics and analyses
Sport performance and support
Data acquisition, processing and analysis
Modelling and simulation
Data bases
Multimedia and presentation
Motion analysis
Game and competition analysis
Training and performance analysis
Pattern recognition
Complex systems
Unconventional modelling
Soft computing
Pervasive computing
Abstracts/Full-Text Paper Submission Deadline |
|
December 12, 2024 |
Notification of Acceptance/Rejection |
|
December 26, 2024 |
Final Paper (Camera Ready) Submission & Early Bird Registration Deadline |
|
March 25, 2025 |
Conference Dates |
|
July 28-29, 2025 |