Structural and Temporal Patterns-Based Features

  • Venkatesh-Prasad Ranganath ,
  • Jithin Thomas

Proceedings of International Workshop on Data Analysis Patterns in Software Engineering (DAPSE) 2013 |

Published by ACM

In this paper, we propose a data transformation pattern to transform sequential data into a set of binary/categorical features and numerical features to enable data analysis. These features capture both structural and temporal information inherent in sequential data.