Title :
Structural and temporal patterns-based features
Author :
Ranganath, Venkatesh-Prasad ; Thomas, Julian
Author_Institution :
Microsoft Res., India
Abstract :
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.
Keywords :
data analysis; categorical features; data analysis; data transformation pattern; numerical features; sequential data; structural patterns-based features; temporal patterns-based features; Data analysis; Explosions; Feature extraction; Protocols; Testing; Universal Serial Bus; Web servers;
Conference_Titel :
Data Analysis Patterns in Software Engineering (DAPSE), 2013 1st International Workshop on
Conference_Location :
San Francisco, CA
DOI :
10.1109/DAPSE.2013.6603808
