
Автор: Gintautas Dzemyda (Editor), Jolita Bernatavičienė (Editor), Janusz Kacprzyk (Editor)
Издательство: Springer
Год: 2020
Формат: True PDF
Страниц: 313
Размер: 10.2 Mb
Язык: English
This book contains 16 chapters by researchers working in various fields of data science. They focus on theory and applications in language technologies, optimization, computational thinking, intelligent decision support systems, decomposition of signals, model-driven development methodologies, interoperability of enterprise applications, anomaly detection in financial markets, 3D virtual reality, monitoring of environmental data, convolutional neural networks, knowledge storage, data stream classification, and security in social networking.