03570nam a22005535i 4500 978-0-387-25229-2 DE-He213 20260521091834.0 cr nn 008mamaa 100301s2005 xxu| s |||| 0|eng d 9780387252292 99780387252292 10.1007/b106968 doi CICY 005.74 23 Chaudhry, Nauman A. editor. Stream Data Management [recurso electrónico] / edited by Nauman A. Chaudhry, Kevin Shaw, Mahdi Abdelguerfi. Boston, MA : Springer US, 2005. XIV, 170 p. online resource. text txt rdacontent computer c rdamedia recurso en línea cr rdacarrier text file PDF rda Advances in Database Systems, 1386-2944 ; 30 to Stream Data Management -- Query Execution and Optimization -- Filtering, Punctuation, Windows and Synopses -- XML & Data Streams -- CAPE: A Constraint-Aware Adaptive Stream Processing Engine -- Efficient Support for Time Series Queries in Data Stream Management Systems -- Managing Distributed Geographical Data Streams with the GIDB Portal System -- Streaming Data Dissemination Using Peer-Peer Systems. 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 applications pose new and interesting challenges for data management systems. Such application domains require queries to be evaluated continuously as opposed to the one time evaluation of a query for traditional applications. Streaming data sets grow continuously and queries must be evaluated on such unbounded data sets. These, as well as other challenges, require a major rethink of almost all aspects of traditional database management systems to support streaming applications. Stream Data Management comprises eight invited chapters by researchers active in stream data management. The collected chapters provide exposition of algorithms, languages, as well as systems 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 interested in learning about stream data management. COMPUTER SCIENCE. COMPUTER COMMUNICATION NETWORKS. DATABASE MANAGEMENT. INFORMATION STORAGE AND RETRIEVAL SYSTEMS. INFORMATION SYSTEMS. MULTIMEDIA SYSTEMS. COMPUTER SCIENCE. DATABASE MANAGEMENT. INFORMATION STORAGE AND RETRIEVAL. MULTIMEDIA INFORMATION SYSTEMS. COMPUTER COMMUNICATION NETWORKS. MODELS AND PRINCIPLES. INFORMATION SYSTEMS APPLICATIONS (INCL.INTERNET). Shaw, Kevin. editor. Abdelguerfi, Mahdi. editor. SpringerLink (Online service) Springer eBooks Printed edition: 9780387243931 Advances in Database Systems, 1386-2944 ; 30 http://dx.doi.org/10.1007/b106968 Ver el texto completo en las instalaciones del CICY ddc ER 32349 32349 0 0 ddc 0 0 LE CICY CICY EL 2025-07-10 0 005.74 2025-07-10 08:39:33 2025-07-10 ER