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Chapter and Conference Paper
A Classification Approach for Prediction of Target Events in Temporal Sequences
Learning to predict significant events from sequences of data with categorical features is an important problem in many application areas. We focus on events for system management, and formulate the problem of...
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Chapter and Conference Paper
SQL/LPP+: A Cascading Query Language for Temporal Correlation Verification
In this paper, we present SQL/LPP+, a temporal correlation verification language for time series databases, SQL/LPP+ is an extension of SQL/LPP[6] and inherits its ability to define time series patterns. SQL/L...
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Chapter and Conference Paper
SQL/LPP: A Time Series Extension of SQL Based on Limited Patience Patterns
In this paper, we introduce SQL/LPP, a time series extension of SQL. SQL/LPP is based on Limited Patience Patterns, a temporal pattern model that is expressive, practical, intuitive, and supports a declarative al...