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On behalf of the Organizing Committee, we are pleased to invite you to submit research papers and participate in the FOURTH INTERNATIONAL CONFERENCE ON SOFT COMPUTING AND DATA MINING (SCDM 2020). SCDM 2020 will be held in Putrajaya, Malaysia on January 22-23, 2020.
SCDM 2020 intend to be a global forum and 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.
All accepted papers will be published in a Springer proceeding, namely, Advances in Intelligent Systems and Computing and will be indexed by ISI, SCOPUS, DBLP, Ei Compendex, Springerlink, and etc.
Further information is available on our conference web site: http://scdm.uthm.edu.my.
Specific questions concerning further information can be sent by email to: [email protected]
Kindly distribute this CFP to your colleagues. Thank you in advance and we are looking forward to meeting you at SCDM 2020.
With our best regards;
Professor Dr Nazri Mohd Nawi
Conference Chairman
IMPORTANT DATES:
Dates of the Conference: January 22-23, 2020
Deadline for Paper Submission: May 31, 2019
Notification of Acceptance: August 15, 2019
Registration:
September 15, 2019 (Early-bird)
September 30, 2019 (Normal)
IMPORTANT URLs:
Submission link: https://easychair.org/conferences/?conf=scdm2020
Conference Website: http://scdm.uthm.edu.my
Call for reviewer: http://scdm.uthm.edu.my/scdm2020/index.php/call-for-reviewer
TOPICS (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
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