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  1. 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...

    Carlotta Domeniconi, Chang-shing Perng in Principles of Data Mining and Knowledge Di… (2002)

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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...

    Chang-Shing Perng, D. Stott Parker in DataWarehousing and Knowledge Discovery (1999)

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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...

    Chang-Shing Perng, D. Stott Parker in Database and Expert Systems Applications (1999)