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Analyzing Time Interval Data : Introducing an Information System for Time Interval Data Analysis.
Philipp Meisen introduces a model, a query language, and a similarity measure enabling users to analyze time interval data. The introduced tools are combined to design and realize an information system. The presented system is capable of performing analytical tasks (avoiding any type of summarizabil...
| Clasificación: | Libro Electrónico |
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| Autor principal: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Wiesbaden :
Springer Fachmedien Wiesbaden,
2016.
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| Temas: | |
| Acceso en línea: | Texto completo |
Tabla de Contenidos:
- Acknowledgments; Abstract; Zusammenfassung; Table of Contents; List of Abbreviations; List of Figures; List of Tables; List of Listings; List of Definitions; 1 Introduction and Motivation; 2 Time Interval Data Analysis; 2.1 Time; 2.1.1 Time Intervals; 2.1.2 Time Interval Data Aggregation; 2.1.3 Temporal Models; 2.1.4 Temporal Operators; 2.1.5 Temporal Concepts; 2.1.6 Special Characteristics of Time; 2.2 Features of Time Interval Data Analysis Information System; 2.2.1 Analytical Capabilities; 2.2.2 Time Interval Data Analysis Process; 2.2.3 User Interface, Visualization, and User Interactions.
- 2.3 Summary3 State of the Art; 3.1 Analytical Information Systems; 3.2 Analyzing Time Interval Data: Different Approaches; 3.2.1 On-Line Analytical Processing; 3.2.2 Temporal Pattern Mining & Association Rule Mining; 3.2.3 Visual Analytics; 3.3 Performance Improvements; 3.3.1 Indexing Time Interval Data; 3.3.2 Aggregating Time Interval Data; 3.3.3 Caching Time Interval Data; 3.4 Analytical Query Languages for Temporal Data; 3.5 Similarity of Time Interval Data; 3.6 Summary; 4 TIDAMODEL: Modeling Time Interval Data; 4.1 Time Axis; 4.2 Descriptors; 4.3 Time Interval Database.
- 4.4 Dimensional Modeling4.5 Summary; 5 TIDAQL: Querying for Time Interval Data; Criterion Description; 5.1 Data Control Language; 5.2 Data Definition Language; 5.3 Data Manipulation Language; 5.3.1 Insert, Delete, & Update Statements; 5.3.2 Get & Alive Statements; 5.3.3 Select Statements; 5.4 Summary; 6 TIDADISTANCE: Similarity of Time Interval Data; 6.1 Temporal Order Distance; 6.2 Temporal Relational Distance; 6.3 Temporal Measure Distance; 6.4 Temporal Similarity Measure; 7 TIDAIS: An Information System for Time Interval Data; 7.1 System's Architecture, Components, and Implementation.
- 7.1.1 Data Repository7.1.2 Cache & Storage; 7.2 Configuration; 7.2.1 Model Configuration; 7.2.2 System Configuration; 7.3 Data Structures & Algorithms; 7.3.1 Model Handling; 7.3.2 Indexes; 7.3.3 Caching & Storage; 7.3.4 Aggregation Techniques; 7.3.5 Distance Calculation; 7.4 User Interfaces; 7.5 Summary; 8 Results & Evaluation; 8.1 Requirements & Features; 8.2 Performance; 8.2.1 High Performance Collections; 8.2.2 Load Performance; 8.2.4 Distance Performance; 8.2.5 Proprietary Solutions vs. TIDAIS; 8.3 Summary; 9 Summary and Outlook; Appendix; Pipelined Table Functions (PL/SQL Oracle).
- A Complete Sample Model-Configuration-FileA Complete Sample Configuration-File; Detailed Overview of the Runtime Performance; 3-NN of the Temporal Relational Similarity; Bibliography.