Focus and Scope

JoDMApps (The Journal of Data Science Methods and Applications) is a journal published by the Sains Data Department, Faculty of Computer Science, Institut Informatika dan Bisnis Darmajaya. JoDMApps (The Journal of Data Science Methods and Applications) aims to disseminate ideas and thoughts, especially research results, to be published to the general public, including:

Theoretical Foundations:
Architecture, Management and Process for Data Science
Artificial Intelligence
Classification and Clustering
Data Pre-Processing, Sampling and Reduction
Deep Learning
Educational Data Mining
High Performance Computing for Data Analytics
Learning Classifiers
Learning Theory
Optimization Methods
Probabilistic and Statistical Models and Theories
Scientific Data and Big Data Analytics
Statistical Learning

Machine Learning and Knowledge Discovery:
Big Data Visualization, Modeling and Analytics
Data and Knowledge Visualization
Database Technology
Knowledge Based Neural Networks
Knowledge Discovery (Heterogeneous, Unstructured and Multimedia Data)
Knowledge Discovery in Network and Link Data
Knowledge Discovery in Social Networks
Learning for Streaming Data
Machine Learning for High-Performance Computing
Multimedia/Stream/Text/Visual Analytics
Spatial/Temporal Data

Computational Data Science:
Big Data
Computational for Big Data Analysis
Computational Intelligence for Pattern Recognition and Medical Imaging
Computer Application for Data Analytics
Computer Architecture for Data Analytics
Computer Graphics for Data Analytics
Data Acquisition, Integration, Cleaning
Data Visualizations
Data Wrangling
Decision Making from İnsights, Hidden Patterns
Intelligent Information Retrieval
Optimization for Data Analytics
Probabilistic And İnformation-Theoretic Methods
Search and Mining
Support Vector Machines
Time Series Analysis

Bioinformatics Applications
Biomedical Informatics Applications
Biometrics Applications
Collaborative Filtering Applications
Data and Information Semantics Applications
Data Mining Algorithms Applications
Data Mining Systems Applications
Data Streams Mining Applications
Database and Information System Performance Applications
Database Systems & Applications
Electronic Commerce and Web Technologies Applications
Electronic Government & E-participation Applications
Graph Mining Applications
Healthcare Applications
Image Analysis Applications
Information Retrieval Applications
Multimedia Data Mining Applications
Natural Language Processing Applications
Pre-Processing Techniques Applications
Spatial Data Mining Applications
Statistical and Scientific Databases Applications
Web Search Applications