A method for automated temporal knowledge acquisition applied to sleep-related breathing disorders
This paper presents a method for the discovery of temporal patterns in multivariate time
series and their conversion into a linguistic knowledge representation applied to sleep …
series and their conversion into a linguistic knowledge representation applied to sleep …
A method for temporal knowledge conversion
G Guimaraes, A Ultsch - International Symposium on Intelligent Data …, 1999 - Springer
In this paper we present a new method for temporal knowledge conversion, called TCon.
The main aim of our approach is to perform a transition, ie conversion, of temporal complex …
The main aim of our approach is to perform a transition, ie conversion, of temporal complex …
The induction of temporal grammatical rules from multivariate time series
G Guimaraes - … and Applications: 5th International Colloquium, ICGI …, 2000 - Springer
In this paper the induction of temporal grammatical rules from multivariate time series is
presented in the context of temporal data mining. This includes the use of unsupervised …
presented in the context of temporal data mining. This includes the use of unsupervised …
Discovering metric temporal constraint networks on temporal databases
MR Álvarez, P Félix, P Cariñena - Artificial intelligence in medicine, 2013 - Elsevier
Objective In this paper, we propose the ASTPminer algorithm for mining collections of time-
stamped sequences to discover frequent temporal patterns, as represented in the simple …
stamped sequences to discover frequent temporal patterns, as represented in the simple …
Temporal knowledge discovery for multivariate time series with enhanced self-organizing maps
G Guimaraes - Proceedings of the IEEE-INNS-ENNS …, 2000 - ieeexplore.ieee.org
This paper presents enhanced self-organizing maps (SOM) for exploratory multivariate time
series analysis in the context of temporal data mining. The main idea lies in an adequate …
series analysis in the context of temporal data mining. The main idea lies in an adequate …
Data-driven rule mining and representation of temporal patterns in physiological sensor data
Mining and representation of qualitative patterns is a growing field in sensor data analytics.
This paper leverages from rule mining techniques to extract and represent temporal relation …
This paper leverages from rule mining techniques to extract and represent temporal relation …
Knowledge-based data analysis: first step toward the creation of clinical prediction rules using a new typicality measure
Clinical prediction rules play an important role in medical practice. They expedite diagnosis
and limit unnecessary tests. However, the rule creation process is time consuming and …
and limit unnecessary tests. However, the rule creation process is time consuming and …
Discovering temporal knowledge in multivariate time series
An overview of the Time Series Knowledge Mining framework to discover knowledge in
multivariate time series is given. A hierarchy of temporal patterns, which are not a priori …
multivariate time series is given. A hierarchy of temporal patterns, which are not a priori …
Classification of auditory brainstem responses through symbolic pattern discovery
ME Molina, A Perez, JP Valente - Artificial intelligence in medicine, 2016 - Elsevier
Introduction Numeric time series are present in a very wide range of domains, including
many branches of medicine. Data mining techniques have proved to be useful for …
many branches of medicine. Data mining techniques have proved to be useful for …
Data mining with temporal abstractions: learning rules from time series
A large volume of research in temporal data mining is focusing on discovering temporal
rules from time-stamped data. The majority of the methods proposed so far have been …
rules from time-stamped data. The majority of the methods proposed so far have been …