This decommissioned ERA site remains active temporarily to support our final migration steps to https://ualberta.scholaris.ca, ERA's new home. All new collections and items, including Spring 2025 theses, are at that site. For assistance, please contact erahelp@ualberta.ca.
Search
Skip to Search Results- 2Bayesian Network
- 1Causal Inference
- 1Data Reconciliation
- 1Entity Resolution
- 1Graphical Model
- 1Probabilistic Graphical Model
-
Fall 2017
The task of entity resolution, also known as record linkage, is to find out which records refer to the same entity across several datasets and link them together. In real applications, record linkage is widely used in multiple fields, such as business, healthcare, criminal investigation, among...
-
Probabilistic Graphical Models for Data Reconciliation and Causal Inference in Process Data Analytics
DownloadSpring 2021
Data reconciliation methods play an important role in minimizing the measurement error and gross error that are present in the process data with respect to the process model. On the other hand, causal analysis helps in determining the relationship among the process variables from the data. It is...