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 Data Mining and Knowledge Discovery
aims to bring together leading academic scientists, researchers and research scholars to exchange and share their experiences and research results on all aspects of
Data Mining and Knowledge Discovery.
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 Data Mining and Knowledge Discovery.
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Also, high quality research contributions describing original and unpublished results of conceptual, constructive, empirical, experimental, or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 Data Mining and Knowledge Discovery 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 Data Mining and Knowledge Discovery has teamed up with the Special Journal Issue on
Data Mining and Knowledge Discovery.
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
-
Evolution of Web Development Techniques in Modern Technology
Abdul Basit Kiani, Maryam Kiani
-
Privacy Concerns and Law Enforcement Data Collection to Tackle Domestic and Sexual Violence
Francesca Radice
-
Digital Content Strategy: Detailed Review of the Key Content Components
Oksana Razina, Shakeel Ahmad, Jessie Qun Ren, Olufemi Isiaq
-
A Semantic Registry to Support Brazilian Aeronautical Web Services Operations
Luís Antonio de Almeida Rodriguez, José Maria Parente de Oliveira, Ednelson Oliveira
-
OSEME: A Smart Learning Environment for Music Education
Konstantinos Sofianos, Michael Stefanidakis
-
Ensemble Approach for Predicting Student's Academic Performance
L. A. Muhammad, M. S. Argungu
-
An Ontology for Smart Learning Environments in Music Education
Konstantinos Sofianos, Michail Stefanidakis
-
Analyzing Factors Impacting COVID-19 Vaccination Rates
Dongseok Cho, Mitchell Driedger, Sera Han, Noman Khan, Mohammed Elmorsy, Mohamad El-Hajj
-
Data Security in a DApp Twitter Alike on Web 3.0 With Blockchain Based Technology
Vishal Awasthi, Tanya Soni, Vigya Awasthi, Swati Singh, Shivali Verma
-
Designing and Implementation of a Method Comprising One to One Web-Based Real-Time Communications
Lata Kiran Dey, Rajendra Kumar, Biren Karmakar
-
Digital Content Strategy: Detailed Review of the Key Content Components
Oksana Razina, Shakeel Ahmad, Jessie Qun Ren, Olufemi Isiaq
-
Web Data Scraping Technology Using Term Frequency Inverse Document Frequency to Enhance the Big Data Quality on Sentiment Analysis
Sangita Pokhrel, Nalinda Somasiri, Rebecca Jeyavadhanam, Swathi Ganesan
-
Comparative Usability Study of the Websites of Top Universities in Three Continents: A Case Study of the University of Cape Town, Oxford University, and Harvard University
Stephen Akuma, Racheal Aluma, Abraham Undu
-
A Web-Based Mobile System for Promoting Agribusiness in Northern Nigeria
I. M. Mungadi, M. S. Argungu, N. I. Mahmud
-
WebAppShield: An Approach Exploiting Machine Learning to Detect SQLi Attacks in an Application Layer in Run-Time
Ahmed Abdulla Ashlam, Atta Badii, Frederic Stahl
Conference venue information will be released soon.
Foundations of data mining
Data mining and machine learning algorithms and methods in traditional areas (such as classification, regression, clustering, probabilistic modeling, and association analysis), and in new areas
Mining text and semi-structured data, and mining temporal, spatial and multimedia data
Mining data streams
Mining spatio-temporal data
Mining with data clouds and Big Data
Link and graph mining
Pattern recognition and trend analysis
Collaborative filtering/personalization
Data and knowledge representation for data mining
Query languages and user interfaces for mining
Complexity, efficiency, and scalability issues in data mining
Data pre-processing, data reduction, feature selection and feature transformation
Post-processing of data mining results
Statistics and probability in large-scale data mining
Soft computing (including neural networks, fuzzy logic, evolutionary computation, and rough sets) and uncertainty management for data mining
Integration of data warehousing, OLAP and data mining
Human-machine interaction and visual data mining
High performance and parallel/distributed data mining
Quality assessment and interestingness metrics of data mining results
Visual Analytics
Security, privacy and social impact of data mining
Data mining applications in bioinformatics, electronic commerce, Web, intrusion detection, finance, marketing, healthcare, telecommunications and other fields
| 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 |
|
August 26, 2025 |
| Conference Dates |
|
September 27-28, 2025 |
