The organizing committee of the 5th SCDM2022 welcomes you to participate in the next International Conference on Soft Computing and Data Mining.
SCDM2022 conference proceeding has been published in Part of the Springer: Lecture Notes in Networks and Systems (LNNS) book series (https://link.springer.com/book/10.1007/978-3-031-00828-3), will be indexed by Scopus, INSPEC, dblp, WTI Frankfurt eG, zbMATH and SCImago.
All books published in the series are submitted for consideration in Web of Science.
The Soft Computing and Data Mining Center (SMC), Faculty of Computer Science and Information Technology, Universiti Tun Hussein Onn Malaysia will host the 5th edition of SCDM International Conference from 30th to 31st May 2022.
Soft Computing and Data Mining are computational research areas in Computer Science that become popular in the early 1990’s until today. While the study of earlier computational research areas could model relatively simple systems, the current study of soft computing and data mining emphasize on dealing with more complex systems which involve mathematical and analytical methods. Soft computing and data mining techniques often apply a consortium of computational techniques in computer science (like fuzzy systems, neural networks, etc.) that deal with imprecision, uncertainty, partial truth, and approximation to achieve tractability, robustness and low solution cost. Soft computing tools, individually or in integrated manner, are turning out to be strong candidates for performing tasks in the area of data mining applications, decision support systems, supply chain management, medicine, business, financial systems, automotive systems, manufacturing, image processing, data compression, and many others. Additionally, data mining techniques may also reveal useful patterns or relationships in data sets which can improve accuracy of prediction and classification tasks.
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.
To be recognised as one of the important conference in soft computing and data mining areas.
To bring together researchers and practitioners from academia and industry to highlight the importance of soft computing and data mining concepts as well as establishing new collaborations in these areas.
All previous SCDM conferences has been successfully held at various locations and all presented papers has been published in Springer book series (https://link.springer.com/conference/scdm) indexed by Scopus and Thompson ISI.
Professor Dr. Farid Meziane
Head of Data Science Research Centre
School of Computing and Engineering
University of Derby
Keynote Title: “Enterprise Data Science: From the Industry Perspective”
Dr. Afnizanfaizal Abdullah
Chief Executive Officer & Co-Founder
Synapse Innovation Sdn. Bhd.
Keynote Title: “Towards Implementing Big Data Strategy for Learning Management System in Malaysia Higher Learning Institutions”
Professor Dr. Abdul Samad Hasan Basari
Head of Soft Computing and Data Mining Centre
Faculty of Computer Science and Information Technology
Universiti Tun Hussein Onn Malaysia
Scope & Topic
Scope and topic of SCDM 2022 are as follows (but not limited to):
Scope 1: Soft Computing
- Ambient intelligence
- Ant and bee colonies
- Artificial immune systems
- Bio inspired computing
- Case based reasoning
- Computational Statistics
- Evolutionary computing
- 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
Scope 2: Data Mining
- Association rules
- Big data
- 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.
Scope 3: Data Science
- Data Algorithm
- Data Analytics
- Descriptive Analytics
- Predictive Analytics
- Prescriptive Analytics
- Business Intelligence
- Batch processing
- Cloud computing
- Cluster computing
- Dark Data
- Data Scientist
- Operations Research
- Graph Database
- Stream processing
- Deep Learning
- Structured vs Unstructured Data
1. Paper Preparation
Full paper submission and template:
* Papers shall consists from 8 to 10 pages and must comply with the format of LNNS Series.
2. Conference Registration
Link for camera ready submission kit & conference registration form: https://bit.ly/3xDb4sv.
3. Payment Method
Payment before 15th January 2022 are as follows:
|Presenter||RM 800||USD 200|
|Participant||RM 100||USD 25|
|Additional Paper||RM 650||USD 150|
|Additional Page (per page)||RM 250||USD 50|
Option: Online Transfer or Bank-In or Telegraphic Transfer (TT) to the bank account number as follows:
|Account Name||Universiti Tun Hussein Onn Malaysia|
|Bank Name||Bank Muamalat Malaysia Berhad|
|Bank Address||Universiti Tun Hussein Onn Malaysia 86400 Parit Raja, Batu Pahat, Johor, MALAYSIA|
*** Please send us the proof of payment via registration form.
Submit the final and revised version through this link, https://forms.gle/Xr5L2zjFUTCF4zx57 no later than 15 JANUARY 2022, in a packed file (zip) containing:
1. Camera Ready (Paper_ID_camera_ready.zip)
(i) All source files of the paper (doc, docx or tex),
(ii) PDF file of the paper
(iii) The Publishing Agreement form
(iv) The Permission Request form (This form should be used ONLY to request permission to reproduce material)
(v) Author’s response
(vi) Similarity report