Add to ORKG? This work has been supported by the Deutsche Forschungsgemeinschaft (DFG) unde
A new framework for analyzing time series data called Time Series Data Mining (TSDM) is introduced. ...
This diploma thesis considers the possibility of a visual analysis of time series consisting of disc...
International audienceThis book is intended as an introduction to a versatile model for temporal dat...
A new framework for analyzing sequential or temporal data such as time series is proposed. It differ...
The domain of temporal data mining focuses on the discovery of causal relationships among events tha...
First of all, I would like to thank my doctoral advisor Prof. Dr. Otthein Herzog for his continuous ...
In this work an approach is presented which applies unsupervised symbolic learning to a qualitative ...
A large volume of research in temporal data mining is focusing on discovering temporal rules from ti...
A large volume of research in temporal data mining is focusing on discovering temporal rules from t...
First chapter is about basic information pattern learning. Second chapter is about solutions of patt...
This thesis contributes to the area of time-series prediction by presenting a novel, noise resistant...
An important goal of knowledge discovery is the search for patterns in data that can help explain th...
Periodic pattern detection in time-ordered sequences is an important data mining task, which discove...
Time series represent sequences of data points where usually their order is defined by the time when...
A new framework for analyzing time series data called Time Series Data Mining (TSDM) is introduced. ...
A new framework for analyzing time series data called Time Series Data Mining (TSDM) is introduced. ...
This diploma thesis considers the possibility of a visual analysis of time series consisting of disc...
International audienceThis book is intended as an introduction to a versatile model for temporal dat...
A new framework for analyzing sequential or temporal data such as time series is proposed. It differ...
The domain of temporal data mining focuses on the discovery of causal relationships among events tha...
First of all, I would like to thank my doctoral advisor Prof. Dr. Otthein Herzog for his continuous ...
In this work an approach is presented which applies unsupervised symbolic learning to a qualitative ...
A large volume of research in temporal data mining is focusing on discovering temporal rules from ti...
A large volume of research in temporal data mining is focusing on discovering temporal rules from t...
First chapter is about basic information pattern learning. Second chapter is about solutions of patt...
This thesis contributes to the area of time-series prediction by presenting a novel, noise resistant...
An important goal of knowledge discovery is the search for patterns in data that can help explain th...
Periodic pattern detection in time-ordered sequences is an important data mining task, which discove...
Time series represent sequences of data points where usually their order is defined by the time when...
A new framework for analyzing time series data called Time Series Data Mining (TSDM) is introduced. ...
A new framework for analyzing time series data called Time Series Data Mining (TSDM) is introduced. ...
This diploma thesis considers the possibility of a visual analysis of time series consisting of disc...
International audienceThis book is intended as an introduction to a versatile model for temporal dat...