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|a 9783319996264
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100 |
1 |
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|a Del Ser, Javier
|e [editor]
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245 |
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|a Intelligent Distributed Computing XII
|h Elektronische Ressource
|c edited by Javier Del Ser, Eneko Osaba, Miren Nekane Bilbao, Javier J. Sanchez-Medina, Massimo Vecchio, Xin-She Yang
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250 |
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|a 1st ed. 2018
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260 |
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|a Cham
|b Springer International Publishing
|c 2018, 2018
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300 |
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|a XV, 448 p. 108 illus
|b online resource
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505 |
0 |
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|a Part I: Main Track -- Long distance in-links for ranking enhancement -- Concept Tracking and Adaptation for Drifting Data Streams under Extreme Verification Latency -- Adversarial Sample Crafting for Time Series Classification with Elastic Similarity Measures -- Slot Co-allocation Optimization in Distributed Computing with Heterogeneous Resources -- About Designing an Observer Pattern-Based Architecture for a Multi-Objective Metaheuristic Optimization Framework -- Scalable Inference of Gene Regulatory Networks with the Spark Distributed Computing Platform -- Finding Best Compiler Options for Critical Software Using Parallel Algorithms -- Drift Detection over Non-stationary Data Streams using Evolving Spiking Neural Networks -- Part II: Energy -- A Hybrid Ensemble of Heterogeneous Regressors for Wind Speed Estimation in Wind Farms -- Bio-inspired approximation to MPPT under real irradiation conditions -- Part III: Industry -- Decision Making in Industry 4.0 Scenarios supported by Imbalanced Data Classification
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653 |
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|a Computational intelligence
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653 |
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|a Artificial Intelligence
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653 |
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|a Computational Intelligence
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653 |
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|a Artificial intelligence
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700 |
1 |
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|a Osaba, Eneko
|e [editor]
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700 |
1 |
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|a Bilbao, Miren Nekane
|e [editor]
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700 |
1 |
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|a Sanchez-Medina, Javier J.
|e [editor]
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041 |
0 |
7 |
|a eng
|2 ISO 639-2
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989 |
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|b Springer
|a Springer eBooks 2005-
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490 |
0 |
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|a Studies in Computational Intelligence
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028 |
5 |
0 |
|a 10.1007/978-3-319-99626-4
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856 |
4 |
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|u https://doi.org/10.1007/978-3-319-99626-4?nosfx=y
|x Verlag
|3 Volltext
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082 |
0 |
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|a 006.3
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520 |
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|a This book gathers a wealth of research contributions on recent advances in intelligent and distributed computing, and which present both architectural and algorithmic findings in these fields. A major focus is placed on new techniques and applications for evolutionary computation, swarm intelligence, multi-agent systems, multi-criteria optimization and Deep/Shallow machine learning models, all of which are approached as technological drivers to enable autonomous reasoning and decision-making in complex distributed environments. Part of the book is also devoted to new scheduling and resource allocation methods for distributed computing systems. The book represents the peer-reviewed proceedings of the 12th International Symposium on Intelligent Distributed Computing (IDC 2018), which was held in Bilbao, Spain, from October 15 to 17, 2018
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