Habilitation thesis of Zaineb Garcia

Knowledge discovery in databases using novel approaches based on Computational Intelligence

The Habilitation Thesis explores various methods aimed at discovering knowledge from data using new techniques based on computational intelligence. These methods have been developed to overcome diverse challenges associated with knowledge extraction, such as data preprocessing, uncertain environments, optimization, scalability, and privacy preservation. Additionally, the thesis presents adaptations of computational approaches aimed at improving specific domains such as mobility datamining and cybersecurity. These adaptations highlight the potential of computational intelligence techniques to effectively address practical challenges. Furthermore, the thesis explores personalized healthcare approaches, demonstrating how advanced data analysis and machine learning techniques can be used to enhance individual patient outcomes. This underscores the importance of leveraging data-driven methods to develop personalized treatment plans tailored to the unique needs and circumstances of each patient.

defended on 24/10/2023