Book Chapters

Life Science Workflow Services (LifeSWS): Motivations and Architecture

28-09-2023

Reza Akbarinia, Christophe Botella, Alexis Joly, Florent Masseglia, Marta Mattoso, Eduardo S. Ogasawara, Daniel de Oliveira, Esther Pacitti, Fábio Porto, Christophe Pradal, Dennis E. Shasha, Patrick Valduriez

Abstract:

Data driven science requires manipulating large datasets coming from various data sources through complex workflows based on a variety of models and languages. With the increasing number of big data sources and models developed by different groups, it is hard to relate models and data and use them in unanticipated ways for specific data......

TSPredIT: Integrated Tuning of Data Preprocessing and Time Series Prediction Models

15-09-2023

Rebecca Salles, Esther Pacitti, Eduardo Bezerra, Celso Marques, Carla Pacheco, Carla Oliveira, Fábio Porto, Eduardo S. Ogasawara

Abstract:

Prediction is one of the most important activities while working with time series. There are many alternative ways to model the time series. Finding the right one is challenging to model them. Most data-centric models (either statistical or machine learning) have hyperparameters to tune. Setting them right is mandatory for good predictions. It is......