Authors
Charalampos Alexopoulos, Zoi Lachana, Aggeliki Androutsopoulou, Vasiliki Diamantopoulou, Yannis Charalabidis, Michalis Avgerinos Loutsaris
Publication date
2019/4/3
Book
Proceedings of the 12th international conference on theory and practice of electronic governance
Pages
354-363
Description
Big Data is, clearly, an integral part of modern information societies. A vast amount of data is daily produced and it is estimated that, for the years to come, this number will grow dramatically. In an effort to transform the hidden information in this ocean of data into a useful one, the use of advanced technologies, such as Machine Learning, is deemed appropriate. Machine Learning is a technology that can handle Big Data classification for statistical or even more complex purposes, such as decision making. This fits perfectly with the scope of the new generation of government, Government 3.0, which explores all the new opportunities to tackle any challenge faced by contemporary societies, by utilizing new technologies for data-driven decision making. Boosted by the opportunities, Machine Learning can facilitate more and more governments participate in the development of such applications in different governmental …
Total citations
2019202020212022202320241313292520
Scholar articles
C Alexopoulos, Z Lachana, A Androutsopoulou… - Proceedings of the 12th international conference on …, 2019