Add to ORKGThe domain of temporal data mining focuses on the discovery of causal relationships among events that are ordered in time and may be causally related. The contributions in this domain encompass the discovery of temporal rule, of sequences and of patterns. However, in many respects this is just a terminological heterogeneity among researchers that are, nevertheless
Data mining is concerned with analysing large volumes of (often unstructured) data to automatically ...
In this work an approach is presented which applies unsupervised symbolic learning to a qualitative ...
In this work an approach is presented which applies unsupervised symbolic learning to a qualitative ...
The domain of temporal data mining focuses on the discovery of causal relationships among events tha...
The domain of temporal data mining focuses on the discovery of causal relationships among events tha...
A large volume of research in temporal data mining is focusing on discovering temporal rules from t...
A large volume of research in temporal data mining is focusing on discovering temporal rules from t...
A large volume of research in temporal data mining is focusing on discovering temporal rules from ti...
The theoretical framework we proposed, based on first-order temporal logic, permits to define the ma...
Data mining is the process of discovering and examining data from diverse viewpoint, using automatic...
Abstract. Data mining is concerned with analysing large volumes of (often unstructured) data to auto...
An important usage of time sequences is for discovering temporal patterns of events (a special type ...
With the increase in the size of data sets, data mining has recently become an important research to...
This thesis focuses on mining association rules on multivariate time series. Com-mon association rul...
This thesis focuses on mining association rules on multivariate time series. Com-mon association rul...
Data mining is concerned with analysing large volumes of (often unstructured) data to automatically ...
In this work an approach is presented which applies unsupervised symbolic learning to a qualitative ...
In this work an approach is presented which applies unsupervised symbolic learning to a qualitative ...
The domain of temporal data mining focuses on the discovery of causal relationships among events tha...
The domain of temporal data mining focuses on the discovery of causal relationships among events tha...
A large volume of research in temporal data mining is focusing on discovering temporal rules from t...
A large volume of research in temporal data mining is focusing on discovering temporal rules from t...
A large volume of research in temporal data mining is focusing on discovering temporal rules from ti...
The theoretical framework we proposed, based on first-order temporal logic, permits to define the ma...
Data mining is the process of discovering and examining data from diverse viewpoint, using automatic...
Abstract. Data mining is concerned with analysing large volumes of (often unstructured) data to auto...
An important usage of time sequences is for discovering temporal patterns of events (a special type ...
With the increase in the size of data sets, data mining has recently become an important research to...
This thesis focuses on mining association rules on multivariate time series. Com-mon association rul...
This thesis focuses on mining association rules on multivariate time series. Com-mon association rul...
Data mining is concerned with analysing large volumes of (often unstructured) data to automatically ...
In this work an approach is presented which applies unsupervised symbolic learning to a qualitative ...
In this work an approach is presented which applies unsupervised symbolic learning to a qualitative ...