Affirm Journal of Data Analysis and Information Processing

Affirm Journal of Data Analysis and Information Processing is an international and peer-reviewed journal with an intercontinental advisory board. The journal documents the professional’s interest in any areas that connect to data analysis and information processing. The focus of the journal is on theories and practice in application of technology in policy and decision making, application of technology in teaching and learning process, business intelligence, digital signal processing, empirical mode decomposition, pattern recognition, and spatial and temporal data analysis. The editorial board of the Affirm Journal of Data Analysis and Information Processing invites authors to submit original papers, case studies and review papers to the journal. At Affirm Journal of Data Analysis and Information Processing, we expect the authors to abide Principles of Transparency and Best Practice in Scholarly Publishing suggested by The Committee on Publication Ethics (COPE), the Directory of Open Access Journals (DOAJ), the Open Access Scholarly Publishers Association (OASPA), and Scopus.

Scope and Focus

Application of Technology in Policy and Decision Making
Application of Technology in Teaching and Learning Process
Artificial Intelligence
Artificial Neural Networks
Big Data Analytic
Business Intelligence
Computational Intelligence
Data Mining
Data Modeling
Deep Learning
Digital Signal Processing
Dimension Reducing
Empirical Mode Decomposition
Fourier Analysis
Graph Mining
Image Processing, Video Processing
Information Extraction
Information Hiding
Information Retrieval
Information Theory
Knowledge Discovery
Machine Learning
Multivariate data analysis, Matrix Analysis
Pattern Recognition
Semantic Technology
Social Network Mining
Spatial and Temporal Data Analysis
Statistics
Statistics and Applied Probability
Stochastic Process
Stream Mining
Time Series Analysis
Wavelet Analysis

Editor in chief

Dr. Loghman

Abstracting and Indexing

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