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 behas been 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.
KeynoteSpeakers
Professor Dr. Rozaida Ghazali
UNIVERSITI TUN HUSSEIN ONN MALAYSIA
Dr. Muhammad Aamir
Senior Research Scientist (Machine Learning), University of Oxford
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
OrganizedBy
FACULTY OF COMPUTER SCIENCE AND INFORMATION TECHNOLOGY
ContactUs
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
