The Canadian Journal of Data Science and Artificial Intelligence

Background

Together with advancements on the data storage, computing and communication technologies data generation is exploited.  Huge amounts of data in terms of internet applications, mobile and IoT devices, digital cameras, sensory data, log data and many other collections of data from wide spectrum of data-centric domains is required to get insight.

The Canadian Journal of Data Science and Artificial Intelligence (CJDSAI) provides a scientific professional platform to advance the key enabling technologies in the data science field by publishing and presenting the innovative ideas.

Editorial board

Title

The Canadian Journal of Data Science and Artificial Intelligence (CJDSAI)

Editorial Structure

Editor in Chief

Selcuk Cankurt, Vistula University, Warsaw, Poland

Editorial Board 

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Aims & scope

The Canadian Journal of Data Science and Artificial Intelligence (CJDSAI) is an open access, international journal publishing original research and reviews in the data science, which is at the intersection of statistics and mathematics and computer science.

It focuses the new ideas, advances and applications in data-driven scientific fields that help address fundamental questions at the frontiers of science and several engineering domains.

Some of the data-driven scientific fields include, but not limited to:

Data Analysis,

Data Analytics,

Data Modeling,

Artificial Intelligence,

Artificial Neural Networks,

Machine Learning,

Supervised and Unsupervised Learning,

Ensemble Learning,

Deep Learning,

Reinforcement Learning,

Pattern Recognition and Learning,

Soft Computing,

Fuzzy Logic, Neuro-Fuzzy,

Computer Vision,

Image Processing,

Digital Signal Processing,

Natural Language Processing / Text Mining,

Recommendation Systems,

Data Mining,

Data Warehousing and Data Mart,

Data Cubes,

Data Lakes,

Data Integration and Extract, Transform, Load (ETL) Systems,

Data Streaming and Real-Time Analytics,

Data Processing,

Data Reporting and Data Visualization,

Business Intelligence,

Feature Engineering,

Feature Extraction and Selection,

Databases and Information Systems,

Data Engineering and Architecture,

NoSQL Databases,

Big Data,

Big Data Analytics,

Cloud Computing,

Distributed Computing,

Parallel Computing,

High-Performance Computing,

IoT and Edge Computing,

Sensory Data,

Advanced Algorithms,

Scalable Algorithms,

Computational Statistics.

The CJDSAI accepts all innovative ideas and applications in Data Sciences. Data science has a multidisciplinary nature and have the potential to conduct the interdisciplinary research to address the issues in broad range of data generating domains. The CJDSAI fosters data professionals, scientists, scholars, engineers, and practitioners to make collaboration between the interrelated fields of Data Science through the wide spectrum of application domains like engineering, healthcare and medicine, education, bioinformatics, computational biology, computational chemistry, finance, marketing, insurance, media and communications, E-commerce, gaming, entertainment, cyber-security, and transportation and logistics industry.