International Workshop on Numerical Algorithms and Methods for Data Analysis and Classification
Scope
The extraction and the assessment of useful information from the huge amount of data available in Bioinformatics, Neurosciences, Cloud Web Services or Climate modelling 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
Jose C. Valverde, University of Castilla-La Mancha, Castille-La Mancha, Spain
Salvatore Cuomo, University of Naples Federico II, Naples, Italy
Ardelio Galletti, University of Naples “Parthenope”, Naples, Italy
Livia Marcellino, University of Naples “Parthenope”, Naples, Italy
Program Committee
Daniela Calvetti, University Cleveland, Ohio, United State
Rosanna Campagna, University of Naples Parthenope, Italy
Antonio Cicone, University of L’Aquila, Italy
Pasquale De Michele, University of Naples Federico II, Italy
Giulio Giunta, Univesity of Naples Parthenope, Italy
Erkki Sommersalo, University Cleveland, Ohio, United State
Gerardo Toraldo, University of Naples Federico II, Italy
Pierangelo Veltri, University of Magna Graecia, Catanzaro, Italy
Special Issues
Publication Chair: Salvatore Cuomo
- “Programming Models and Algorithms for data analysis in HPC system” of the International Journal of Parallel Programming, Springer journal collection
- “Numerical Algorithms and Methods for Data Analysis and Classification” of the Elsevier journal collection
These will select high-quality papers (more than 70% of new material) from the first edition of IInternational Workshop on Numerical Algorithms and Methods for Data Analysis and Classification, NAMDAC ’16.
Contact
salvatore.cuomo@gmail.com
ardelio.galletti@uniparthenope.it
livia.marcellino@uniparthenope.it