About the Journal

Journal of Soft Computing and Data Mining (JSCDM) is an international journal focusing wide scope of soft computing and data mining to solve real life problems. It invites only original and interesting contributions from worldwide authors throughout the year. Journal of Soft Computing and Data mining publishes accepted papers through two regular issues a year. JSCDM is a collection of methodologies, which aim to exploit computational research papers in the major fields, including:

Soft Computing

  • Artificial immune systems
  • Bio-inspired computing
  • Computational Statistics
  • Evolutionary computing
  • Fuzzy set theory
  • Expert Systems
  • Genetic algorithms
  • Hybrid intelligent systems
  • Machine learning
  • Deep learning
  • Nature-inspired computing
  • Rough set theory
  • Statistical computing
  • Support vector machines
  • Swarm intelligence
  • Software Agent
  • Multi-agent System
  • Soft set theory

Data Mining 

  • Classification
  • Regression
  • Clustering
  • Association rules
  • Data mining in medical informatics
  • Data mining systems and application
  • Dimensionality reduction
  • Disaster prediction and management
  • Educational data mining
  • Enterprise and business data management
  • Feature selection and data cleansing
  • Information retrieval
  • Knowledge acquisition & management
  • Knowledge-based and expert systems
  • Large-scale data mining
  • Outlier analysis
  • Statistics for intelligent data analysis
  • Visual data mining

Data Science

  • Big data 
  • Internet of Things (IoT) data analytics
  • Business data analytics
  • Data Visualization
  • Operations Research
  • Graph Database
  • Stream processing