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001 | u376062 | ||
003 | SIRSI | ||
005 | 20160812084354.0 | ||
007 | cr nn 008mamaa | ||
008 | 110628s2011 gw | s |||| 0|eng d | ||
020 |
_a9783642203442 _9978-3-642-20344-2 |
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040 | _cMX-MeUAM | ||
050 | 4 | _aQ342 | |
082 | 0 | 4 |
_a006.3 _223 |
100 | 1 |
_aBessis, Nik. _eeditor. |
|
245 | 1 | 0 |
_aNext Generation Data Technologies for Collective Computational Intelligence _h[recurso electrónico] / _cedited by Nik Bessis, Fatos Xhafa. |
264 | 1 |
_aBerlin, Heidelberg : _bSpringer Berlin Heidelberg, _c2011. |
|
300 |
_aXVIII, 638 p. _bonline resource. |
||
336 |
_atext _btxt _2rdacontent |
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337 |
_acomputer _bc _2rdamedia |
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338 |
_aonline resource _bcr _2rdacarrier |
||
347 |
_atext file _bPDF _2rda |
||
490 | 1 |
_aStudies in Computational Intelligence, _x1860-949X ; _v352 |
|
505 | 0 | _aPart I: Foundations and Principles -- Part II: Advanced Models and Practices -- Part III: Advanced Applications Section IV: Future Trends and Concepts. | |
520 | _aThis book focuses on next generation data technologies in support of collective and computational intelligence. The book brings various next generation data technologies together to capture, integrate, analyze, mine, annotate and visualize distributed data – made available from various community users – in a meaningful and collaborative for the organization manner. A unique perspective on collective computational intelligence is offered by embracing both theory and strategies fundamentals such as data clustering, graph partitioning, collaborative decision making, self-adaptive ant colony, swarm and evolutionary agents. It also covers emerging and next generation technologies in support of collective computational intelligence such as Web 2.0 social networks, semantic web for data annotation, knowledge representation and inference, data privacy and security, and enabling distributed and collaborative paradigms such as P2P, Grid and Cloud Computing due to the geographically dispersed and distributed nature of the data. The book aims to cover in a comprehensive manner the combinatorial effort of utilizing and integrating various next generations collaborative and distributed data technologies for computational intelligence in various scenarios. The book also distinguishes itself by assessing whether utilization and integration of next generation data technologies can assist in the identification of new opportunities, which may also be strategically fit for purpose. | ||
650 | 0 | _aEngineering. | |
650 | 0 | _aInformation systems. | |
650 | 0 | _aArtificial intelligence. | |
650 | 1 | 4 | _aEngineering. |
650 | 2 | 4 | _aComputational Intelligence. |
650 | 2 | 4 | _aArtificial Intelligence (incl. Robotics). |
650 | 2 | 4 | _aInformation Systems Applications (incl.Internet). |
700 | 1 |
_aXhafa, Fatos. _eeditor. |
|
710 | 2 | _aSpringerLink (Online service) | |
773 | 0 | _tSpringer eBooks | |
776 | 0 | 8 |
_iPrinted edition: _z9783642203435 |
830 | 0 |
_aStudies in Computational Intelligence, _x1860-949X ; _v352 |
|
856 | 4 | 0 |
_zLibro electrónico _uhttp://148.231.10.114:2048/login?url=http://link.springer.com/book/10.1007/978-3-642-20344-2 |
596 | _a19 | ||
942 | _cLIBRO_ELEC | ||
999 |
_c203942 _d203942 |