| 書目名稱 | Peer-to-Peer Query Processing over Multidimensional Data |
| 編輯 | Akrivi Vlachou,Christos Doulkeridis,Yannis Kotidis |
| 視頻video | http://file.papertrans.cn/744/743323/743323.mp4 |
| 概述 | Includes supplementary material: |
| 叢書名稱 | SpringerBriefs in Computer Science |
| 圖書封面 |  |
| 描述 | Applications that require a high degree of distribution and loosely-coupled connectivity are ubiquitous in various domains, including scientific databases, bioinformatics, and multimedia retrieval. In all these applications, data is typically voluminous and multidimensional, and support for advanced query operators is required for effective querying and efficient processing. To address this challenge, we adopt a hybrid P2P architecture and propose novel indexing and query processing algorithms. We present a scalable framework that relies on data summaries that are distributed and maintained as multidimensional routing indices. Different types of data summaries enable efficient processing of a variety of advanced query operators. |
| 出版日期 | Book 2012 |
| 關(guān)鍵詞 | Peer-to-peer query processing; multidimensional data; similarity search; skyline queries; top-k queries |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-1-4614-2110-8 |
| isbn_softcover | 978-1-4614-2109-2 |
| isbn_ebook | 978-1-4614-2110-8Series ISSN 2191-5768 Series E-ISSN 2191-5776 |
| issn_series | 2191-5768 |
| copyright | The Author(s) 2012 |
|Archiver|手機版|小黑屋|
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