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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 |
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942 | _c05 |