ICDMKE 2024: 18. International Conference on Data Mining and Knowledge Engineering

December 30-31, 2024 in Paris, France

DIGITAL

Conference Code: 24FRPA12ICDMKE001

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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 Engineering 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 Engineering. 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 Engineering.

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 Also, high quality research contributions describing original and unpublished results of conceptual, constructive, empirical, experimental, or theoretical work in all areas of Data Mining and Knowledge Engineering are cordially invited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

18. International Conference on Data Mining and Knowledge Engineering has teamed up with the Special Journal Issue on Data Mining and Knowledge Engineering. 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.

Application Forms

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

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.

Data mining foundations
Novel data mining algorithms in traditional areas (such as classification, regression, clustering, probabilistic modeling, and association analysis)
Algorithms for new, structured, data types, such as arising in chemistry, biology, environment, and other scientific domains
Developing a unifying theory of data mining
Mining sequences and sequential data
Mining spatial and temporal datasets
Mining textual and unstructured datasets
High performance implementations of data mining algorithms

Mining in targeted application contexts
Mining high speed data streams
Mining sensor data
Distributed data mining and mining multi-agent data
Mining in networked settings: web, social and computer networks, and online communities
Data mining in electronic commerce, such as recommendation, sponsored web search, advertising, and marketing tasks

Methodological aspects and the KDD process
Data pre-processing, data reduction, feature selection, and feature transformation
Quality assessment, interestingness analysis, and post-processing
Statistical foundations for robust and scalable data mining
Handling imbalanced data
Automating the mining process and other process related issues
Dealing with cost sensitive data and loss models
Human-machine interaction and visual data mining
Security, privacy, and data integrity

Integrated KDD applications and systems
Bioinformatics, computational chemistry, geoinformatics, and other science & engineering disciplines
Computational finance, online trading, and analysis of markets
Intrusion detection, fraud prevention, and surveillance
Healthcare, epidemic modeling, and clinical research
Customer relationship management
Telecommunications, network and systems management

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		November 29, 2024
Conference Dates		December 30-31, 2024