| 000 | 03392nam a22005295i 4500 | ||
|---|---|---|---|
| 001 | 978-3-319-23742-8 | ||
| 003 | DE-He213 | ||
| 005 | 20200421112046.0 | ||
| 007 | cr nn 008mamaa | ||
| 008 | 150921s2016 gw | s |||| 0|eng d | ||
| 020 |
_a9783319237428 _9978-3-319-23742-8 |
||
| 024 | 7 |
_a10.1007/978-3-319-23742-8 _2doi |
|
| 050 | 4 | _aQ342 | |
| 072 | 7 |
_aUYQ _2bicssc |
|
| 072 | 7 |
_aCOM004000 _2bisacsh |
|
| 082 | 0 | 4 |
_a006.3 _223 |
| 245 | 1 | 0 |
_aIntelligent Agents in Data-intensive Computing _h[electronic resource] / _cedited by Joanna Ko�odziej, Lu�is Correia, Jos�e Manuel Molina. |
| 250 | _a1st ed. 2016. | ||
| 264 | 1 |
_aCham : _bSpringer International Publishing : _bImprint: Springer, _c2016. |
|
| 300 |
_aXVIII, 216 p. 61 illus., 29 illus. in color. _bonline resource. |
||
| 336 |
_atext _btxt _2rdacontent |
||
| 337 |
_acomputer _bc _2rdamedia |
||
| 338 |
_aonline resource _bcr _2rdacarrier |
||
| 347 |
_atext file _bPDF _2rda |
||
| 490 | 1 |
_aStudies in Big Data, _x2197-6503 ; _v14 |
|
| 505 | 0 | _aBio-Inspired ICT for Big Data Management in Healthcare -- Control AspectsiIn Multiagent Systems -- A Different Perspective of Agent-Based Techniques: Markovian Agents -- Autonomous, Adaptive, And Self-Organized Multiagent Systems for the Optimization of Decentralized Industrial Processes -- Formal Specification Language and Agent Applications -- Large-Scale Simulations with FLAME -- Cloud Computing and Multiagent Systems, A Promising Relationship -- Privacy Risks in Cloud Computing -- Adaptive Resource Allocation in Cloud Computing Based on Agreement Protocols. | |
| 520 | _aThis book presents new approaches that advance research in all aspects of agent-based models, technologies, simulations and implementations for data intensive applications. The nine chapters contain a review of recent cross-disciplinary approaches in cloud environments and multi-agent systems, and important formulations of data intensive problems in distributed computational environments together with the presentation of new agent-based tools to handle those problems and Big Data in general. This volume can serve as a reference for students, researchers and industry practitioners working in or interested in joining interdisciplinary work in the areas of data intensive computing and Big Data systems using emergent large-scale distributed computing paradigms. It will also allow newcomers to grasp key concepts and potential solutions on advanced topics of theory, models, technologies, system architectures and implementation of applications in Multi-Agent systems and data intensive computing. . | ||
| 650 | 0 | _aEngineering. | |
| 650 | 0 | _aData mining. | |
| 650 | 0 | _aArtificial intelligence. | |
| 650 | 0 | _aComputational intelligence. | |
| 650 | 1 | 4 | _aEngineering. |
| 650 | 2 | 4 | _aComputational Intelligence. |
| 650 | 2 | 4 | _aData Mining and Knowledge Discovery. |
| 650 | 2 | 4 | _aArtificial Intelligence (incl. Robotics). |
| 700 | 1 |
_aKo�odziej, Joanna. _eeditor. |
|
| 700 | 1 |
_aCorreia, Lu�is. _eeditor. |
|
| 700 | 1 |
_aManuel Molina, Jos�e. _eeditor. |
|
| 710 | 2 | _aSpringerLink (Online service) | |
| 773 | 0 | _tSpringer eBooks | |
| 776 | 0 | 8 |
_iPrinted edition: _z9783319237411 |
| 830 | 0 |
_aStudies in Big Data, _x2197-6503 ; _v14 |
|
| 856 | 4 | 0 | _uhttp://dx.doi.org/10.1007/978-3-319-23742-8 |
| 912 | _aZDB-2-ENG | ||
| 942 | _cEBK | ||
| 999 |
_c56961 _d56961 |
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