000 03777nam a22005895i 4500
003 DE-He213
005 20191011014351.0
007 cr nn 008mamaa
008 100301s2005 xxu| s |||| 0|eng d
020 6 4 _a9780387252292
_9978-0-387-25229-2
024 8 7 _a10.1007/b106968
_2doi
050 8 4 _aQA76.9.D3
072 8 7 _aUN
_2bicssc
072 8 7 _aUMT
_2bicssc
072 8 7 _aCOM021000
_2bisacsh
082 _a005.74
_223
100 8 1 _aChaudhry, Nauman A.
_eeditor.
_912602
245 9 7 _aStream Data Management
_h[electronic resource] /
_cedited by Nauman A. Chaudhry, Kevin Shaw, Mahdi Abdelguerfi.
001 000044559
300 6 4 _aXIV, 170 p.
_bonline resource.
490 8 1 _aAdvances in Database Systems,
_x1386-2944 ;
_v30
505 8 0 _ato 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.
520 6 4 _aResearchers 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.
650 8 0 _aComputer science.
_912603
650 8 0 _aComputer Communication Networks.
_912604
650 8 0 _aDatabase management.
_912605
650 8 0 _aInformation storage and retrieval systems.
_912606
650 8 0 _aInformation systems.
_912607
650 8 0 _aMultimedia systems.
_910442
650 _aComputer Science.
_912608
650 _aDatabase Management.
_912609
650 _aInformation Storage and Retrieval.
_912610
650 _aMultimedia Information Systems.
_910446
650 _aComputer Communication Networks.
_912604
650 _aModels and Principles.
_99453
650 _aInformation Systems Applications (incl.Internet).
_99469
700 8 1 _aShaw, Kevin.
_eeditor.
_912611
700 8 1 _aAbdelguerfi, Mahdi.
_eeditor.
_912612
710 8 2 _aSpringerLink (Online service)
_912613
773 8 0 _tSpringer eBooks
776 _iPrinted edition:
_z9780387243931
830 8 0 _aAdvances in Database Systems,
_x1386-2944 ;
_v30
_912614
856 _uhttp://dx.doi.org/10.1007/b106968
_zde clik aquí para ver el libro electrónico
264 8 1 _aBoston, MA :
_bSpringer US,
_c2005.
336 6 4 _atext
_btxt
_2rdacontent
337 6 4 _acomputer
_bc
_2rdamedia
338 6 4 _aonline resource
_bcr
_2rdacarrier
347 6 4 _atext file
_bPDF
_2rda
516 6 4 _aZDB-2-SCS
999 _c44288
_d44288
942 _c05