1st International Workshop on Artificial Intelligence and Data Analytics (AIDA-2023)

Data analytics is a critical component of many AI applications. AI algorithms rely on large amounts of high-quality data to learn and make predictions or decisions. Data analytics, on the other hand, involves analyzing and interpreting data to extract meaningful insights. In the context of AI, data analytics is used to preprocess and clean data, and select the most relevant data for the AI algorithm to learn from. After the AI algorithm has been trained, data analytics can also be used to analyze the results and identify the areas for improvement.
AI can also be used to enhance data analytics. For example, AI can be used to automate data cleaning and pre-processing to identify patterns and anomalies in data and to make predictions based on historical data. In summary, AI and data analytics are highly interdependent fields that work together to create intelligent systems that can analyze data, make predictions, and take action based on insights gained from that data. The ultimate goal is to use AI and data analytics to create innovative applications that can solve real-world problems and create value for businesses and individuals.

Topics of interests:
We invite the submission of original works that is related, but are not limited, to the topics below:

  • Machine learning
  • Natural language processing (NLP)
  • Computer vision
  • Robotics
  • Reinforcement learning
  • Descriptive analytics
  • Predictive analytics
  • Prescriptive analytics
  • Data mining
  • Text analytics

Submission: The workshop is open to submit unpublished work resulting from researches that present original scientific results, methodological aspects, concepts and approaches. All submissions must be PDF documents written in English and formatted according to CEUR-WS CEURART style. Templates are available for LaTeX and DOCX/ODT, for single column layout.

We welcome the following types of contributions:

  • Full research papers (10-15 pages): Finished or consolidated R&D works, to be included in one of the Workshop topics
  • Short papers (4-6 pages): Ongoing works with relevant preliminary results, opened to discussion.
  • At least one author of each accepted paper must register for the workshop, in order to present the paper, there, and to the conference. For further instructions please refer to the AMLDA 2024 page

Papers are to be submitted through Easy Chair. Click Here For Submission
All accepted workshop papers will be published in CEUR Proceedings.

Workshop Chairs

  • Dr Tasneem Bano Rehman, SAGE University, Bhopal, India
  • Dr Marina Tropmann Frick, University of Applied Siences (HAW), Hamburg, Germany

Program Committee Sanju Tiwari, Universidad Autonoma de Tamaulipas, Mexico
Sven Groppe, University of Lubeck, Germany
Boštjan Brumen, University of Maribor, Slovenia
Martin Schulz, University of Applied Sciences Hamburg
Fatima Zahra Amara, KhenchelaUniversity, Algeria
MounirHemam, KhenchelaUniversity, Algeria
Moufida Maimour , University of Lorraine , France
Dr M A Jabbar, Vardhaman College of Engineering, India

Technical Sponsors (Approved)