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Welcome to SCDM 2022!

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 will be published in Part of the Springer: Lecture Notes in Networks and Systems (LNNS) book series (confirmed), 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.

The goal of this conference is 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. 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.


The previous SCDM (SCDM 2020) has been successfully held at the Holiday Inn Melaka, Malaysia and all presented papers has been published in Springer: Advances in Intelligent Systems and Computing (AISC) volume 978, indexed by Scopus and Thompson ISI. (https://link.springer.com/book/10.1007/978-3-030-36056-6)


Keynote Speakers

Professor Dr. Farid Meziane

Professor
University of Derby


Dr. Dzaharudin Mansor

National Technology Officer
Microsoft Malaysia


Professor Dr. Abdul Samad Hasan Basari

Professor
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
  • 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

Scope 2: 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.

Scope 3: 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

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 conference registration:
** TBA

3. Payment Method

Payment before 15th January 2022 are as follows:

CategoryFees
(Local Presenter)
Fees
(International Presenter)
PresenterRM 800USD 200
ParticipantRM 100USD 25
Additional PaperRM 650USD 150
Additional Page (per page)RM 250USD 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 
 Account no 01070000001716
 Bank Name Bank Muamalat Malaysia Berhad
 Bank Address Universiti Tun Hussein Onn Malaysia 86400 Parit Raja, Batu Pahat, Johor, MALAYSIA
 Swift Code BMMBMYKL

*** Please send us the proof of payment via registration form.

For inquiries, please send your email to: scdm@uthm.edu.my