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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Bibliographic Details
Main Authors: Ranganath, Venkatesh-Prasad, Thomas, Jithin
Format: Conference Proceeding
Language:English
Subjects:
Data analysis
Explosions
Feature extraction
Protocols
Testing
Universal Serial Bus
Web servers
Online Access:Request full text
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Description
Summary: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.
DOI:10.1109/DAPSE.2013.6603808