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  1. No Access

    Article

    Guest editorial: special issue on temporal data mining: theory, algorithms and applications

    This special issue provides a leading forum for timely, in-depth presentation of recent advances in algorithms, theories and applications in temporal data mining. The selected papers underwent a rigorous refer...

    Tao Li, Chang-Shing Perng, Sheng Ma in Data Mining and Knowledge Discovery (2008)

  2. 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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  3. No Access

    Chapter and Conference Paper

    The S 2-Tree: An Index Structure for Subsequence Matching of Spatial Objects

    We present the S 2-Tree, an indexing method for subsequence matching of spatial objects. The S 2-Tree locates subsequences within a collection of spatial sequences,...

    Haixun Wang, Chang-Shing Perng in Advances in Knowledge Discovery and Data Mining (2001)

  4. No Access

    Chapter

    The Landmark Model: An Instance Selection Method for Time Series Data

    We present the Landmark Model, an instance selection method for time series data that has applications in querying, indexing, and mining time series. The Landmark Model gives a new foundation for time series d...

    Chang-Shing Perng, Sylvia R. Zhang… in Instance Selection and Construction for Da… (2001)

  5. No Access

    Article

    Temporal Coupling Verification in Time Series Databases

    Time series are often generated by continuous sampling or measurement of natural or social phenomena. In many cases, events cannot be represented by individual records, but instead must be represented by time ...

    Chang-Shing Perng, D. Stott Parker in Journal of Intelligent Information Systems (2000)

  6. No Access

    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)

  7. No Access

    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)