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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 |
MARC
| LEADER | 00000cam a2200000Mi 4500 | ||
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| 001 | EBOOKCENTRAL_ocn960165224 | ||
| 003 | OCoLC | ||
| 005 | 20240329122006.0 | ||
| 006 | m o d | ||
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| 008 | 161112s2016 gw ob 000 0 eng d | ||
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| 019 | |a 1026443464 |a 1048138101 |a 1058337498 | ||
| 020 | |a 9783658157289 | ||
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| 020 | |a 9783658157272 | ||
| 020 | |a 3658157275 | ||
| 024 | 7 | |a 10.1007/978-3-658-15728-9 |2 doi | |
| 029 | 1 | |a CHNEW |b 000946189 | |
| 035 | |a (OCoLC)960165224 |z (OCoLC)1026443464 |z (OCoLC)1048138101 |z (OCoLC)1058337498 | ||
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| 082 | 0 | 4 | |a 003.3 |2 23 |
| 049 | |a UAMI | ||
| 100 | 1 | |a Meisen, Philipp. | |
| 245 | 1 | 0 | |a Analyzing Time Interval Data : |b Introducing an Information System for Time Interval Data Analysis. |
| 260 | |a Wiesbaden : |b Springer Fachmedien Wiesbaden, |c 2016. | ||
| 300 | |a 1 online resource (250 pages) | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 347 | |a text file |b PDF |2 rda | ||
| 588 | 0 | |a Print version record. | |
| 505 | 0 | |a 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. | |
| 505 | 8 | |a 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. | |
| 505 | 8 | |a 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. | |
| 505 | 8 | |a 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). | |
| 505 | 8 | |a A Complete Sample Model-Configuration-FileA Complete Sample Configuration-File; Detailed Overview of the Runtime Performance; 3-NN of the Temporal Relational Similarity; Bibliography. | |
| 520 | |a 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 summarizability problems), providing insights, and visualizing results processing millions of intervals within milliseconds using an intuitive SQL-based query language. The heart of the solution is based on several bitmap-based indexes, which enable the system to handle huge amounts of time interval data. Contents Modeling Time Interval Data Querying for Time Interval Data Similarity of Time Interval Data An Information System for Time Interval Data Analysis Target Groups Researchers and students in the field of information management Business analysts and dispatchers in the fields of online analytical processing (OLAP), data warehousing (DW), business intelligence (BI), workforce management, and data science The Author Philipp Meisen holds a doctoral degree from RWTH Aachen, where he was a research group leader at the Chair of Information Management in Mechanical Engineering. | ||
| 504 | |a Includes bibliographical references. | ||
| 590 | |a ProQuest Ebook Central |b Ebook Central Academic Complete | ||
| 650 | 0 | |a System analysis |x Data processing. | |
| 650 | 0 | |a Time. | |
| 650 | 0 | |a Database management. | |
| 650 | 6 | |a Analyse de systèmes |x Informatique. | |
| 650 | 6 | |a Temps. | |
| 650 | 6 | |a Bases de données |x Gestion. | |
| 650 | 7 | |a time. |2 aat | |
| 650 | 7 | |a Database management |2 fast | |
| 650 | 7 | |a System analysis |x Data processing |2 fast | |
| 650 | 7 | |a Time |2 fast | |
| 758 | |i has work: |a Analyzing time interval data (Text) |1 https://id.oclc.org/worldcat/entity/E39PCFQwjbyxd9PHPH9dCRh9wC |4 https://id.oclc.org/worldcat/ontology/hasWork | ||
| 776 | 0 | 8 | |i Print version: |a Meisen, Philipp. |t Analyzing Time Interval Data : Introducing an Information System for Time Interval Data Analysis. |d Wiesbaden : Springer Fachmedien Wiesbaden, ©2016 |z 9783658157272 |
| 856 | 4 | 0 | |u https://ebookcentral.uam.elogim.com/lib/uam-ebooks/detail.action?docID=4699868 |z Texto completo |
| 938 | |a EBL - Ebook Library |b EBLB |n EBL4699868 | ||
| 994 | |a 92 |b IZTAP | ||