TY - GEN
T1 - Predicting Fishing Effort and Catch Using Semantic Trajectories and Machine Learning
AU - Adibi, Pedram
AU - Pranovi, Fabio
AU - Raffaetà, Alessandra
AU - Russo, Elisabetta
AU - Silvestri, Claudio
AU - Simeoni, Marta
AU - Soares, Amilcar
AU - Matwin, Stan
N1 - Publisher Copyright:
© The Author(s) 2020.
PY - 2020
Y1 - 2020
KW - AIS
KW - Fisheries
KW - Machine Learning
KW - Semantic trajectories
KW - Spatio-temporal data
UR - http://www.scopus.com/inward/record.url?scp=85078483486&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85078483486&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-38081-6_7
DO - 10.1007/978-3-030-38081-6_7
M3 - Conference contribution
AN - SCOPUS:85078483486
SN - 9783030380809
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 83
EP - 99
BT - Multiple-Aspect Analysis of Semantic Trajectories - 1st International Workshop, MASTER 2019, held in Conjunction with ECML-PKDD 2019, Proceedings
A2 - Tserpes, Konstantinos
A2 - Renso, Chiara
A2 - Matwin, Stan
PB - Springer
T2 - 1st International Workshop on Multiple-Aspect Analysis of Semantic Trajectories, MASTER 2019 held in Conjunction with the 19th European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, ECML PKDD 2019
Y2 - 16 September 2019 through 16 September 2019
ER -