2025 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2025)
July 6-9th 2025 in Reims (France)

https://fuzzieee2025.conf.lip6.fr/special-sessions/

Special Session “Emerging Trends in Soft Computing for Data, Web, and Social Media Mining in the Age of Generative AI”

ORGANIZERS

M. Dolores Ruiz (mdruiz@decsai.ugr..es)
Maria J. Martin-Bautista (mbautis@decsai.ugr.es)
Computer Science and A.I. Department, University of Granada (Spain)

IMPORTANT DATES

Paper submission: January 10th, 2025
Notification of acceptance: April 1st, 2025
Conference: July 6-9th 2025

Description:

The integration of soft computing techniques with generative AI is opening new horizons in data, web, and social media mining. Soft computing approaches, including fuzzy logic, neural networks, evolutionary algorithms, and probabilistic reasoning, are particularly well-suited for handling uncertainty, imprecision, and high-dimensional data. In conjunction with generative AI models, these methods enable more adaptable and robust solutions for knowledge extraction from complex data sources, especially in dynamic online environments. This session aims to explore recent advancements in applying soft computing to the challenges and opportunities presented in the fields of data, web, and social media mining with special interest in LLMs and generative AI models.

We invite contributions that cover theoretical, methodological, and applied aspects of soft computing and generative AI in the following areas:

- Adaptive models that combine neural networks and fuzzy logic to enable real-time, responsive analysis of social media trends and events.
- Generative AI in Social Media Analysis
- Application of generative models (e.g., LLMs, GANs) in creating synthetic data, enhancing sentiment analysis, and performing content generation in social media contexts.
- Combining Soft Computing with LLMs for Enhanced Text Mining.
- Innovative applications that leverage both soft computing and large language models to improve understanding and classification of unstructured text data.
- Soft Computing Techniques for Web and Social Media Mining: Utilization of fuzzy logic, evolutionary algorithms, and neural networks to process and analyze data from social platforms and web sources.
- Hybrid Models for Improved Knowledge Discovery.
- Development of hybrid soft computing and generative AI models for discovering patterns in high-dimensional, complex, or sparse data from web and social sources.
- Fuzzy Logic and Probabilistic Reasoning in Data Mining.
- Methods that use soft computing to manage ambiguity and uncertainty in mining processes, enhancing decision-making across various domains.
- Ethics and Transparency in Soft Computing-Enhanced AI: Addressing ethical and transparency issues arising from the use of generative AI and soft computing in data mining, with a focus on data privacy and explainability.