Anadolu Business Intelligence and Data Analytics Journal (ANABIDA) includes studies that support the use of modern research methods and techniques in artificial intelligence, machine learning, neural networks, deep learning, data mining, data analytics, and data visualization for all procedures and infrastructure processes necessary for the correct compilation, organization, analysis, and predictions of the data collected by businesses from the past to the present. The gains that decision-makers can achieve by applying modern techniques in enterprises are handled with both theoretical and practical dimensions, and it is aimed at making modern businesses more ready for the future based on past and present data. Studies emphasizing the importance of Artificial Intelligence-based approaches in the strategic and tactical decisions of decision-makers in today's businesses will be included. The journal aims to contribute to the literature and the sector by expressing innovative approaches in simple language.

Anadolu Business Intelligence and Data Analytics Journal (ANABIDA) is a peer-reviewed, academic, international electronic journal and its language is English. Journal, applied or theoretical:

• Adversarial Machine Learning
• Artificial Intelligence
• Artificial Intelligence Applications in Businesses
• Artificial Intelligence-Based Decision Making
• Artificial Life and Complex Adaptive Systems
• Artificial Reality
• Autonomous Agents and Multiagent Systems
• Big Data
• Bioinformatics
• Business Analytics
• Business Intelligence
• Business Intelligence and Ethical Problems
• Business Intelligence Applications
• Classification Algorithms
• Clustering Algorithms
• Computer Vision
• Context Learning
• Data Analysis
• Data Analytics
• Data Engineering and Data Science
• Data Management and Data Science
• Data Mining and Knowledge Discovery
• Data Models, Storage and Indexing
• Data Quality
• Data Visualisation and Computational Design
• Database Systems
• Deep Learning
• Evolutionary Computation
• Extreme Learning Machines
• Fuzzy Computation
• Graph, Social and Multimedia Data
• Information Extraction and Fusion
• Information Retrieval and Web Search
• Information Visualisation
• Intelligent Robotics
• Knowledge Representation and Reasoning
• Machine Learning
• Machine Learning Algorithms
• Machine Vision
• Modeling and Simulation
• Natural Language Processing
• Neural Networks
• Pattern Recognition
• Planning and Decision Making
• Query Processing and Optimisation
• Recommender Systems
• Reinforcement Learning
• Satisfiability and Optimisation
• Semi- and Unsupervised Learning
• Social Media Analytics
• Speech Production
• Speech Recognition
• Statistical Data Science
• Statistical Data Science
• Stream and Sensor Data
• Supervised Learning
• Virtual Reality
• Visual Perception

It includes articles on topics related to its fields.

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