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