Structural and Temporal Patterns-Based Features

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.

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

Publisher  ACM

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TypeInproceedings
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