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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...
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Article
Demand-driven frequent itemset mining using pattern structures
Frequent itemset mining aims at discovering patterns the supports of which are beyond a given threshold. In many applications, including network event management systems, which motivated this work, patterns ar...
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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
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,...
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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...
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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 ...
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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...
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Chapter
An Implementation of CMIP/CMISE Conformance Testing System
CMIP (Common Management Information Protocol)/CMIS (Common Management Information Services) is the international standard for communication between management agents and management managers. It p...