vertTIRP: Robust and efficient vertical frequent time interval-related pattern mining
Time-interval-related pattern (TIRP) mining algorithms find patterns such as “A starts B” or “A
overlaps B”. The discovery of TIRPs is computationally highly demanding. In this work, we …
overlaps B”. The discovery of TIRPs is computationally highly demanding. In this work, we …
A classification of sequential patterns for numerical and time series multiple source data—a preliminary application on extreme weather prediction
RY Yasmin, AE Sakya… - … conference on data and …, 2017 - ieeexplore.ieee.org
Classification based on sequential patterns has become very important method in data
mining. It is useful to make predictions for alert warning system and strategic decision …
mining. It is useful to make predictions for alert warning system and strategic decision …
Progressive Mining of Sequential Patterns Based on Single Constraint
RY Yasmin, P Saptawati… - … Electronics and Control), 2017 - telkomnika.uad.ac.id
Data that were appeared in the order of time and stored in a sequence database can be
processed to obtain sequential patterns. Sequential pattern mining is the process to obtain …
processed to obtain sequential patterns. Sequential pattern mining is the process to obtain …
[PDF][PDF] Classification with Single Constraint Progressive Mining of Sequential Patterns.
RY Yasmin, P Saptawati… - International Journal of …, 2017 - pdfs.semanticscholar.org
Classification based on sequential pattern data has become an important topic to explore.
One of research has been carried was the Classify-By-Sequence, CBS. CBS classified data …
One of research has been carried was the Classify-By-Sequence, CBS. CBS classified data …