International Workshop on Numerical Algorithms and Methods for Data Analysis and Classification


The extraction and the assessment of useful information from the huge amount of data available in Bioinformatics, Neurosciences, Cloud Web Services or Climate modeling pose many challenges and difficulties. The goal of the workshop will be to approach and discuss recent trends in data mining, focusing on the analysis and the classification of large data sets using novel methods, numerical models and efficient and reliable algorithmic strategies belonging to the family of clustering and genetic algorithms, neural networking and regression analysis. In particular, we are interested in the emerging techniques for data analysis addressed to relevant real-world applications, in order to share ideas, experiences and research results.

Topics for the workshop include, but are not limited to:

  • Numerical Methods for data analysis
  • Parallel Dynamical Systems
  • Inverse Problems
  • Numerical Optimization
  • Numerical Methods for Signal and Image Processing
  • Multivariate Analysis
  • Data Mining
  • Classification Methods
  • Scientific and Parallel Computing
  • GPU Computing

Workshop Co-Chairs

Ardelio Galletti, University of Naples “Parthenope”, Naples, Italy
Livia Marcellino, University of Naples “Parthenope”, Naples, Italy

Program Committee

Antonio Cicone, University of L’Aquila, Italy
Pasquale De Luca, University of Naples “Parthenope”, Italy
Giulio Giunta, University of Naples “Parthenope”, Italy
Pierangelo Veltri, University of Magna Graecia, Catanzaro, Italy
Antonio Maratea, University of Naples “Parthenope”, Italy
Elisa Francomano, University of Palermo, Italy
Raffaele Montella, University of Naples “Parthenope”, Italy
Marzieh Raei, University of Technology, Isfahan, Iran
Angelo Riccio, University of Naples “Parthenope”, Italy