標(biāo)題: Titlebook: Stream Data Management; Nauman A. Chaudhry,Kevin Shaw,Mahdi Abdelguerfi Book 2005 Springer-Verlag US 2005 Extensible Markup Language (XML) [打印本頁] 作者: invoke 時間: 2025-3-21 17:25
書目名稱Stream Data Management影響因子(影響力)
書目名稱Stream Data Management影響因子(影響力)學(xué)科排名
書目名稱Stream Data Management網(wǎng)絡(luò)公開度
書目名稱Stream Data Management網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Stream Data Management被引頻次
書目名稱Stream Data Management被引頻次學(xué)科排名
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書目名稱Stream Data Management讀者反饋
書目名稱Stream Data Management讀者反饋學(xué)科排名
作者: brother 時間: 2025-3-21 22:50
Query Execution and Optimization,assume the environment is completely dynamic and highly unpredictable. In this chapter we explore both approaches and present novel query optimization and evaluation techniques for queries over streaming sources.作者: glowing 時間: 2025-3-22 03:36 作者: Diatribe 時間: 2025-3-22 05:11 作者: 基因組 時間: 2025-3-22 12:00
Introduction to Stream Data Management,ibed and the challenges for data management systems in supporting these requirements are identified. This is followed by a description of solutions aimed at providing the required functionality. The chapter concludes with a tour of the rest of the chapters in the book.作者: 匍匐 時間: 2025-3-22 16:00 作者: pellagra 時間: 2025-3-22 17:37 作者: engrave 時間: 2025-3-22 23:32 作者: LINES 時間: 2025-3-23 02:53
Filtering, Punctuation, Windows and Synopses,r query processing over such streams, such as outstripping CPU or memory resources, operators that wait for the end of input and unbounded query state. We then consider various techniques for meeting those challenges. . attempts to reduce stream volume in order to save on system resources. . incorpo作者: irradicable 時間: 2025-3-23 06:55
XML & Data Streams,groups. . algorithms compute results by analyzing an input stream of documents one tag at a time. In contrast, . algorithms take advantage of (precomputed or computed-on-demand) numbering schemes over each input XML document in the stream. In this chapter, we present an index-based technique, ., to 作者: 核心 時間: 2025-3-23 13:31
Efficient Support for Time Series Queries in Data Stream Management Systems,search challenges faced by this approach include (i) overcoming the expressive power limitations of database languages on data stream applications, and (ii) providing query processing and optimization techniques for the data stream execution environment that is so different from that of traditional 作者: negligence 時間: 2025-3-23 13:54
Managing Distributed Geographical Data Streams with the GIDB Portal System,dred geographic information databases. The GIDB portal enables users to access many distributed data sources with a single protocol and from a single source. This chapter will highlight the current functionality of the GIDB Portal System and give specific applications to military and homeland securi作者: catagen 時間: 2025-3-23 19:38 作者: BUST 時間: 2025-3-24 00:33
1386-2944 hers active in stream data management.The collected chapters.Researchers in data management have recently recognized the importance of a new class of data-intensive applications that requires managing data streams, i.e., data composed of continuous, real-time sequence of items. Streaming application作者: ADORN 時間: 2025-3-24 05:39
Filtering, Punctuation, Windows and Synopses,rate semantics on the structure of a stream into the stream itself, and can help unblock query operators and reduce the state they must retain. . modifies a query so that processing takes place on finite subsets of full streams. . are compact, efficiently maintained summaries of data that can provide approximate answers to particular queries.作者: 高射炮 時間: 2025-3-24 09:50 作者: 沉積物 時間: 2025-3-24 14:36 作者: Optometrist 時間: 2025-3-24 18:54
978-1-4419-3738-4Springer-Verlag US 2005作者: engrave 時間: 2025-3-24 21:28 作者: gastritis 時間: 2025-3-24 23:31 作者: 聲音刺耳 時間: 2025-3-25 04:04 作者: 無力更進 時間: 2025-3-25 08:26
Nauman A. Chaudhry,Kevin Shaw,Mahdi AbdelguerfiIntroduces a coherent body of work spanning various aspects of streaming data.Comprises eight invited chapters by well-distinguished researchers active in stream data management.The collected chapters作者: Suggestions 時間: 2025-3-25 13:15
Nicolas Bruno,Luis Gravano,Nick Koudas,Divesh Srivastava作者: 提煉 時間: 2025-3-25 19:36 作者: 克制 時間: 2025-3-25 21:05 作者: 難取悅 時間: 2025-3-26 02:46 作者: indignant 時間: 2025-3-26 04:23
Book 2005ystems proposed and implemented for managing streaming data. ..Stream Data Management is designed to appeal to researchers or practitioners already involved in stream data management, as well as to those starting out in this area. This book is also suitable for graduate students in computer science 作者: Hla461 時間: 2025-3-26 10:18
d. This is done with a non-linear thermo-visco-elastic material law. The calculation can be adapted so that additional metallurgical experience can be brought in. This leads to a cooling concept, which is based on theoretical concepts and practical experiences.作者: LIMN 時間: 2025-3-26 15:58 作者: squander 時間: 2025-3-26 20:27
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