The 6th International Conference on

SOFT COMPUTING & DATA MINING

SCDM 2024

21-22 August 2024
Online
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Exciting Days

Welcome to the Official Website of SCDM 2024

The Faculty of Computer Science and Information Technology, Universiti Tun Hussein Onn Malaysia will host the 6th edition of SCDM International Conference from 21st to 22nd August 2024.

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.

When

Wednesday - Thursday (21 - 22 August, 2024)

Where

Online

Publication

All accepted SCDM2024 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, INSPEC, DBLP, WTI Frankfurt eG, zbMATH and SCImago.

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 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

Soft Computing & Data Mining

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.

Scopes & Topics

Scope and topic of SCDM 2024 are as follows (but not limited to):

Scope 1: Machine Learning

  • 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

Organized By

FACULTY OF COMPUTER SCIENCE AND INFORMATION TECHNOLOGY

Keynote Speakers

Professor Dr. Rozaida Ghazali

UNIVERSITI TUN HUSSEIN ONN MALAYSIA

Associate Professor Dr. Harish Garg

Thapar Institute of Engineering & Technology, Punjab, India

Mr. Azhar Kassim Mustapha

Founder/CEO Nervesis, Malaysia

Contact Us

Professor Dr. Nazri Mohd Nawi
SCDM Conference Chair
Faculty of Computer Science & Information Technology,
Universiti Tun Hussein Onn Malaysia,
86400, Parit Raja, Batu Pahat, Johor, Malaysia.
Telephone: +(607) 453 3762
Fax: +(607) 453 6023
email: scdm@uthm.edu.my
Ts. Dr. Mohd Norasri Ismail
SCDM Web Manager
Faculty of Computer Science & Information Technology,
Universiti Tun Hussein Onn Malaysia,
86400, Parit Raja, Batu Pahat, Johor, Malaysia.
Telephone: +(607) 453 3679
Fax: +(607) 453 6023
email: norasri@uthm.edu.my