Intelligent Techniques for Warehousing and Mining Sensor Network Data /
Represents a solid research contribution of state-of-the-art studies and practical achievements in warehousing and mining sensor network data.
| Main Authors: | , |
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| Format: | software, multimedia |
| Language: | eng |
| Published: |
Hershey, Pennsylvania : Information Science Reference
2010
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| Subjects: | |
| Online Access: | https://link.gale.com/apps/pub/9781605663296/GVRL?u=utm |
| _version_ | 1796765776845209600 |
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| author | Cuzzocrea, Alfredo, editor 610348 Gale Group (Online service) 651863 |
| author_facet | Cuzzocrea, Alfredo, editor 610348 Gale Group (Online service) 651863 |
| author_sort | Cuzzocrea, Alfredo, editor 610348 |
| collection | OCEAN |
| description | Represents a solid research contribution of state-of-the-art studies and practical achievements in warehousing and mining sensor network data. |
| first_indexed | 2024-03-05T17:29:13Z |
| format | software, multimedia |
| id | KOHA-OAI-TEST:609594 |
| institution | Universiti Teknologi Malaysia - OCEAN |
| language | eng |
| last_indexed | 2024-03-05T17:29:13Z |
| publishDate | 2010 |
| publisher | Hershey, Pennsylvania : Information Science Reference |
| record_format | dspace |
| spelling | KOHA-OAI-TEST:6095942023-12-10T01:11:57ZIntelligent Techniques for Warehousing and Mining Sensor Network Data / Cuzzocrea, Alfredo, editor 610348 Gale Group (Online service) 651863 software, multimediaHershey, Pennsylvania : Information Science Reference2010©2010engRepresents a solid research contribution of state-of-the-art studies and practical achievements in warehousing and mining sensor network data.Includes index.Chapter 1. Integrated Intelligence: Separating the Wheat from the Chaff in Sensor Data -- Chapter 2. Improving OLAP Analysis of Multidimensional Data Streams via Efficient Compression Techniques -- Chapter 3. Warehousing RFID and Location-Based Sensor Data -- Chapter 4. Warehousing and Mining Streams of Mobile Object Observations -- Chapter 5. Anomaly Detection in Streaming Sensor Data -- Chapter 6. Knowledge Discovery for Sensor Network Comprehension -- Chapter 7. Why General Outlier Detection Techniques Do Not Suffice for Wireless Sensor Networks -- Chapter 8. Intelligent Acquisition Techniques for Sensor Network Data -- Chapter 9. Peer-to-Peer Data Clustering in Self-Organizing Sensor Networks -- Chapter 10. Intelligent Querying Techniques for Sensor Data Fusion -- Chapter 11. Query Optimisation for Data Mining in Peer-to-Peer Sensor Networks -- Chapter 12. Geographic Routing of Sensor Data around Voids and Obstacles -- Chapter 13. Sensor Field Resource Management for Sensor Network Data Mining -- Chapter 14. Event/Stream Processing for Advanced Applications -- Chapter 15. A Survey of Dynamic Key Management Schemes in Sensor NetworksRepresents a solid research contribution of state-of-the-art studies and practical achievements in warehousing and mining sensor network data.Sensor networksData miningInformation retrievalComputer storage deviceshttps://link.gale.com/apps/pub/9781605663296/GVRL?u=utmURN:ISBN:9781605663296Remote access restricted to users with a valid UTM ID via VPN. |
| spellingShingle | Sensor networks Data mining Information retrieval Computer storage devices Cuzzocrea, Alfredo, editor 610348 Gale Group (Online service) 651863 Intelligent Techniques for Warehousing and Mining Sensor Network Data / |
| title | Intelligent Techniques for Warehousing and Mining Sensor Network Data / |
| title_full | Intelligent Techniques for Warehousing and Mining Sensor Network Data / |
| title_fullStr | Intelligent Techniques for Warehousing and Mining Sensor Network Data / |
| title_full_unstemmed | Intelligent Techniques for Warehousing and Mining Sensor Network Data / |
| title_short | Intelligent Techniques for Warehousing and Mining Sensor Network Data / |
| title_sort | intelligent techniques for warehousing and mining sensor network data |
| topic | Sensor networks Data mining Information retrieval Computer storage devices |
| url | https://link.gale.com/apps/pub/9781605663296/GVRL?u=utm |
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