Welcome to the Official Website of SCDM 2026
The Faculty of Computer Science and Information Technology, Universiti Tun Hussein Onn Malaysia
will host the 7th edition of SCDM International Conference from
4 to 5 August 2026.
This conference is dedicated to address the challenges in the areas of soft computing, data mining and data science, thereby presenting a consolidated view to the interested parties in the aforesaid fields. The conference looks for significant contributions to soft computing, data mining and data science in theoretical and practical aspects.
Publication
All accepted SCDM2026
papers will be published in Part of the Springer: Lecture Notes in Networks and Systems (LNNS)
book series (
https://www.springer.com/series/15179), and will be indexed by SCOPUS, DBLP, EI Compendex, INSPEC, SCImago, WTI AG and zbMATH
.
The proceeding will be published before the conference date
and a softcopy of the proceeding will be given to all presenters during the conference date.
All previous SCDM conferences have been successfully held at various locations and all presented papers has been successfully published (before the actual conference date) in the Springer book series (
https://link.springer.com/conference/scdm) indexed by Scopus.
Previous SCDM Publications
SCDM 2024, 21-22 August 2024
Recent Advances on Soft Computing and Data Mining
https://link.springer.com/book/10.1007/978-3-031-66965-1
SCDM 2022, 30-31 May 2022
Recent Advances on Soft Computing and Data Mining
https://link.springer.com/book/10.1007/978-3-031-00828-3
SCDM 2020, 22-23 January 2020
Recent Advances on Soft Computing and Data Mining
https://link.springer.com/book/10.1007/978-3-030-36056-6
SCDM 2018, 6-8 February 2018
Recent Advances on Soft Computing and Data Mining
https://link.springer.com/book/10.1007/978-3-319-72550-5
SCDM 2016, 18-20 August 2016
Recent Advances on Soft Computing and Data Mining
https://link.springer.com/book/10.1007/978-3-319-51281-5
SCDM 2014, 16-18 June 2014
Recent Advances on Soft Computing and Data Mining
https://link.springer.com/book/10.1007/978-3-031-00828-3
Conference Theme
Navigating the AI Frontier: Soft Computing and Data Mining for Emerging Trends.
This conference will explore the cutting-edge applications of Artificial Intelligence (AI) across diverse disciplines, with a specific emphasis on the role of Soft Computing (SC) and Data Mining (DM) techniques in addressing current and future trends.
Expected Outcomes
- Publication of high-quality research papers in reputable journals and conference proceedings.
- Stimulating discussions and debates on the future of AI.
- Networking opportunities for participants to build collaborations and partnerships.
- Identify and define new research areas.
Scopes & Topics
The conference topics of interest are as listed below, but not limited to :
soft computing
Ambient intelligence, Ant and bee colonies, Artificial immune systems, Bio inspired computing, Case based reasoning, Computational Statistics, Evolutionary computing, Fractals, Fuzzy set theory, Genetic algorithms, Grey set theory, Hybrid intelligent systems, Immunological computing, Intelligent systems, Machine learning, Nature inspired computing, Neural networks, Rough set theory, Statistical computing, Support vector machines, Swarm intelligence, Soft set theory, Uncertainty analysis, Wavelets.
data mining
Association rules, Big data, Classification, Clustering, Data cleaning, Data integration, Data mining algorithms, Data mining in medical informatics, Data mining systems in finance, sciences, retail, e-commerce, Dimensionality reduction, Disaster prediction and management, Educational data mining, Enterprise and business data management, Feature selection and data cleansing, Financial market analysis, Information retrieval, Knowledge acquisition & management, Knowledge-based and expert systems, Large-scale data mining, Outlier analysis, Parallel and distributed data mining algorithms, Statistics for intelligent data analysis, Visual data mining.
Data science
Data Algorithm, Data Analytics, Descriptive Analytics, Predictive Analytics, Prescriptive Analytics, Business Intelligence, Visualization, Batch processing, Cloud computing, Cluster computing, Dark Data, Data Scientist, ETL, NoSQL, Operations Research, Graph Database, Stream processing, Deep Learning, Structured vs Unstructured Data.
ai in digital transformation
Climate Change Modeling and Mitigation, Sustainable Agriculture and Food Security, Smart Cities and Infrastructure, Blockchain and Decentralized Systems, AI-Driven Cybersecurity and Privacy, AI for Metaverse and Virtual Reality, Personalized Web Experiences and Semantic Search, Genomics and Precision Medicine, Remote Healthcare and Telemedicine, Brain-Computer Interfaces and Neurotechnology, Pandemic Preparedness and Response, Human-Robot Collaboration, Digital Twins and Predictive Maintenance, Supply Chain Resilience and Optimization, AI for Creative Industries and Content Generation, Explainable AI (XAI) and Trustworthy AI for Complex Systems, Federated Learning and Privacy-Preserving AI, Quantum-Inspired Soft Computing and Data Mining, Neuromorphic Computing and Event-Based AI,
Keynote Speakers
Prof. Dr. Nazri Mohd Nawi
Professor
Universiti Tun Hussein Onn Malaysia
Mr. Ishafizan Ishak
Founder, Executive Director, Chief Data Architect
Data Clarity Sdn. Bhd.
TBA
Contact Us
SCDM 2026 Secretariat
