Open Science Research Excellence

ICBDDMAI 2019 : International Conference on Big Data-Driven Management and Artificial Intelligence

Amsterdam, The Netherlands
November 4 - 5, 2019

Conference Information

ICBDDMAI Home Aims and Objectives Important Dates Call for Papers Committee Conference Program Conference Proceedings Conference Abstracts

Paper Submission

Paper Submission Paper Submission GUIDE Scholarly Research Review Open Science Award Postdoctoral Fellowship Award

Conference Registration

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Conference Publicity

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Conference Venue

Digital Program consists of the e-proceedings book which is available online-only and includes the conference communications (proceedings abstracts and papers). Registered participants can access the digitally available conference proceedings ( and certificates ) by visiting their profile pages.

Call for Papers

ICBDDMAI 2019 : International Conference on Big Data-Driven Management and Artificial Intelligence is the premier interdisciplinary platform for the presentation of new advances and research results in the fields of Big Data-Driven Management and Artificial Intelligence. The conference will bring together leading academic scientists, researchers and scholars in the domain of interest from around the world. Topics of interest for submission include, but are not limited to:
  • Artificial Intelligence:
  • Brain Models, Brain Mapping, Cognitive Science
  • Natural Language Processing
  • Fuzzy Logic and Soft Computing
  • Expert Systems
  • Decision Support Systems
  • Automated Problem Solving
  • Intelligent Information Systems
  • Intelligent Data Mining and Farming
  • Intelligent Web-Based Business
  • Intelligent Networks
  • Intelligent Databases
  • Intelligent Tutoring Systems
  • Distributed AI Algorithms and Techniques
  • Distributed AI Systems and Architectures
  • Neural Networks and Applications
  • Heuristic Searching Methods
  • Social Impact of AI
  • Applications (including: computer vision, signal processing, military, surveillance, robotics, medicine, pattern recognition, face recognition, finger print recognition, finance and marketing, stock market, education, emerging applications...)
  • Data Mining/Machine Learning:
  • Statistical Learning
  • Hierarchical Learning Models
  • Relational Learning Models
  • Bayesian Methods
  • Meta Learning
  • Heuristic Optimization Techniques
  • Neural Networks
  • Multi-Criteria Reinforcement Learning
  • Markov chain Monte Carlo (MCMC) Methods
  • Bayesian Networks
  • Time Series Prediction
  • Fuzzy Logic and Learning
  • Inductive Learning and Applications
  • Computational Intelligence
  • Aspects of Natural Language Processing
  • Segmentation/Clustering/Association
  • Deviation and Outlier Detection
  • Explorative and Visual Data Mining
  • Web Mining
  • Mining Text and Semi-Structured Data
  • Multimedia Mining (Audio/Video)
  • Artificial Neural Networks
  • Legal and Social Aspects of Data Mining
  • Data Cleaning and Preparation
  • Missing Value Imputation
  • Medicine Data Mining
  • Business/Corporate/Industrial Data Mining
  • Data Mining and National Security
  • Clustering Algorithms used in Data Mining
  • Automatic Data Cleaning
  • Data Visualization
  • Data Reduction Methods
  • Pattern Mining
  • Applications (examples: data mining in education, marketing, finance and financial services, business applications, medicine, bioinformatics, biological sciences, science and technology, industry and government...)