[HTML][HTML] Predictive mining of multi-temporal relations
In this paper, we propose a methodology for deriving a new kind of approximate temporal
functional dependencies, called Approximate Predictive Functional Dependencies (APFDs) …
functional dependencies, called Approximate Predictive Functional Dependencies (APFDs) …
IBC: An Integrated framework combining blockchain with BPMN choreography to enhance multi-party collaboration
X Shen, Z Wang, J Luo, H Ruan… - 2024 IEEE International …, 2024 - ieeexplore.ieee.org
This paper analyzes decentralized collaboration between organizations, focusing on the
challenges and inefficiencies in the absence of trusted third-party collaboration. The …
challenges and inefficiencies in the absence of trusted third-party collaboration. The …
A BPMN-based Framework to Manage ERAS-inspired Pathway for Patients Undergoing Pancreatic Surgery
M Mantovani, A Caravati, G Pozzi… - 2023 IEEE 11th …, 2023 - ieeexplore.ieee.org
It has been proved that patients on the way to pancreatic surgery could benefit from a set of
activities to improve their psycho-physical status. The Enhanced Recovery After Surgery …
activities to improve their psycho-physical status. The Enhanced Recovery After Surgery …
FARmAPP: a process-driven solution to prevent and oppose illegal recruitment in agriculture in northern italy
M Mantovani, C Combi - 2022 IEEE International Symposium …, 2022 - ieeexplore.ieee.org
Illegal recruitment in agriculture is an issue that affects many different aspects, from the
workers' physical and psychological health conditions to the overall economy. This …
workers' physical and psychological health conditions to the overall economy. This …
Discovering Predictive Dependencies on Multi-Temporal Relations
In this paper, we propose a methodology for deriving a new kind of approximate temporal
functional dependencies, called Approximate Predictive Functional Dependencies (APFDs) …
functional dependencies, called Approximate Predictive Functional Dependencies (APFDs) …
Explainable temporal data mining techniques to support the prediction task in Medicine
B Amico - 2023 - iris.univr.it
In the last decades, the increasing amount of data available in all fields raises the necessity
to discover new knowledge and explain the hidden information found. On one hand, the …
to discover new knowledge and explain the hidden information found. On one hand, the …
POP: Learn from Partial-Overall History with different time Patterns for Temporal Knowledge Graph Reasoning
Y Yang, J Wang, H Zhao, S Gao - 2024 5th International …, 2024 - ieeexplore.ieee.org
Temporal knowledge graph reasoning (TKGR) is the task to predict missing facts by learning
the temporal knowledge graph (TKG) to obtain the representations of entity and relation. The …
the temporal knowledge graph (TKG) to obtain the representations of entity and relation. The …
Approximate data mining techniques on clinical data
M Mantovani - 2020 - iris.univr.it
The past two decades have witnessed an explosion in the number of medical and
healthcare datasets available to researchers and healthcare professionals. Data collection …
healthcare datasets available to researchers and healthcare professionals. Data collection …