Emerging perspectives in big data warehousing:
"This book disseminates the latest research findings in the areas of data management and analyzation. It also focuses on the integration between the fields of data warehousing and data mining"--
Gespeichert in:
| Weitere Verfasser: | , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Hershey, PA
IGI Global
[2019]
|
| Schlagworte: | |
| Online-Zugang: | DE-1050 DE-898 DE-1049 DE-91 DE-706 DE-83 URL des Erstveröffentlichers |
| Zusammenfassung: | "This book disseminates the latest research findings in the areas of data management and analyzation. It also focuses on the integration between the fields of data warehousing and data mining"-- |
| Beschreibung: | 1 Online-Ressource |
| ISBN: | 9781522555179 |
| DOI: | 10.4018/978-1-5225-5516-2 |
Internformat
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| 245 | 1 | 0 | |a Emerging perspectives in big data warehousing |c David Taniar, Wenny Rahayu |
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| 505 | 8 | |a Chapter 1. A two-tiered segmentation approach for transaction data warehousing -- Chapter 2. Real-time big data warehousing -- Chapter 3. Deductive data warehouses: analyzing data warehouses with datalog (by example) -- Chapter 4. A trajectory ontology design pattern for semantic trajectory data warehouses: behavior analysis and animal tracking case studies -- Chapter 5. Personalized spatio-temporal OLAP queries suggestion based on user behavior and a new similarity measure -- Chapter 6. Building OLAP cubes from columnar NoSQL data warehouses -- Chapter 7. Commercial and open source business intelligence platforms for big data warehousing -- Chapter 8. Index structures for data warehousing and big data analytics -- Chapter 9. Multidimensional analysis of big data -- Chapter 10. Development of ETL processes using the domain-specific modeling approach -- Chapter 11. Introduction of item constraints to discover characteristic sequential patterns | |
| 520 | |a "This book disseminates the latest research findings in the areas of data management and analyzation. It also focuses on the integration between the fields of data warehousing and data mining"-- | ||
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| 700 | 1 | |a Rahayu, Johanna Wenny |d 1963- |0 (DE-588)1067788093 |4 edt | |
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| contents | Chapter 1. A two-tiered segmentation approach for transaction data warehousing -- Chapter 2. Real-time big data warehousing -- Chapter 3. Deductive data warehouses: analyzing data warehouses with datalog (by example) -- Chapter 4. A trajectory ontology design pattern for semantic trajectory data warehouses: behavior analysis and animal tracking case studies -- Chapter 5. Personalized spatio-temporal OLAP queries suggestion based on user behavior and a new similarity measure -- Chapter 6. Building OLAP cubes from columnar NoSQL data warehouses -- Chapter 7. Commercial and open source business intelligence platforms for big data warehousing -- Chapter 8. Index structures for data warehousing and big data analytics -- Chapter 9. Multidimensional analysis of big data -- Chapter 10. Development of ETL processes using the domain-specific modeling approach -- Chapter 11. Introduction of item constraints to discover characteristic sequential patterns |
| ctrlnum | (OCoLC)1104887791 (DE-599)BVBBV045934906 |
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| format | Electronic eBook |
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| id | DE-604.BV045934906 |
| illustrated | Not Illustrated |
| indexdate | 2024-07-20T06:38:19Z |
| institution | BVB |
| isbn | 9781522555179 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-031317259 |
| oclc_num | 1104887791 |
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| publishDate | 2019 |
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| spelling | Emerging perspectives in big data warehousing David Taniar, Wenny Rahayu Hershey, PA IGI Global [2019] 1 Online-Ressource txt rdacontent c rdamedia cr rdacarrier Chapter 1. A two-tiered segmentation approach for transaction data warehousing -- Chapter 2. Real-time big data warehousing -- Chapter 3. Deductive data warehouses: analyzing data warehouses with datalog (by example) -- Chapter 4. A trajectory ontology design pattern for semantic trajectory data warehouses: behavior analysis and animal tracking case studies -- Chapter 5. Personalized spatio-temporal OLAP queries suggestion based on user behavior and a new similarity measure -- Chapter 6. Building OLAP cubes from columnar NoSQL data warehouses -- Chapter 7. Commercial and open source business intelligence platforms for big data warehousing -- Chapter 8. Index structures for data warehousing and big data analytics -- Chapter 9. Multidimensional analysis of big data -- Chapter 10. Development of ETL processes using the domain-specific modeling approach -- Chapter 11. Introduction of item constraints to discover characteristic sequential patterns "This book disseminates the latest research findings in the areas of data management and analyzation. It also focuses on the integration between the fields of data warehousing and data mining"-- Data warehousing Data mining Big data Taniar, David 1963- (DE-588)1046525417 edt Rahayu, Johanna Wenny 1963- (DE-588)1067788093 edt Erscheint auch als Druck-Ausgabe, hc 978-1-5225-5516-2 Erscheint auch als Druck-Ausgabe, sc 978-1-5225-9194-8 https://doi.org/10.4018/978-1-5225-5516-2 Verlag URL des Erstveröffentlichers Volltext |
| spellingShingle | Emerging perspectives in big data warehousing Chapter 1. A two-tiered segmentation approach for transaction data warehousing -- Chapter 2. Real-time big data warehousing -- Chapter 3. Deductive data warehouses: analyzing data warehouses with datalog (by example) -- Chapter 4. A trajectory ontology design pattern for semantic trajectory data warehouses: behavior analysis and animal tracking case studies -- Chapter 5. Personalized spatio-temporal OLAP queries suggestion based on user behavior and a new similarity measure -- Chapter 6. Building OLAP cubes from columnar NoSQL data warehouses -- Chapter 7. Commercial and open source business intelligence platforms for big data warehousing -- Chapter 8. Index structures for data warehousing and big data analytics -- Chapter 9. Multidimensional analysis of big data -- Chapter 10. Development of ETL processes using the domain-specific modeling approach -- Chapter 11. Introduction of item constraints to discover characteristic sequential patterns Data warehousing Data mining Big data |
| title | Emerging perspectives in big data warehousing |
| title_auth | Emerging perspectives in big data warehousing |
| title_exact_search | Emerging perspectives in big data warehousing |
| title_full | Emerging perspectives in big data warehousing David Taniar, Wenny Rahayu |
| title_fullStr | Emerging perspectives in big data warehousing David Taniar, Wenny Rahayu |
| title_full_unstemmed | Emerging perspectives in big data warehousing David Taniar, Wenny Rahayu |
| title_short | Emerging perspectives in big data warehousing |
| title_sort | emerging perspectives in big data warehousing |
| topic | Data warehousing Data mining Big data |
| topic_facet | Data warehousing Data mining Big data |
| url | https://doi.org/10.4018/978-1-5225-5516-2 |
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