Intelligent Methods and Big Data in Industrial Applications

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Bembenik, Robert (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Skonieczny, Łukasz (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Protaziuk, Grzegorz (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Kryszkiewicz, Marzena (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Rybinski, Henryk (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2019.
• Έκδοση: 1st ed. 2019.
• Σειρά: Studies in Big Data, 40
• Θέματα: Computational intelligence.; Big data.; Artificial intelligence.; Data mining.; Computational Intelligence.; Big Data/Analytics.; Artificial Intelligence.; Big Data.; Data Mining and Knowledge Discovery.

The inspiration for this book came from the Industrial Session of the ISMIS 2017 Conference in Warsaw. It covers numerous applications of intelligent technologies in various branches of the industry. Intelligent computational methods and big data foster innovation and enable the industry to overcome...

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• High Performance Computing By The Crowd
• Zero-overhead monitoring of remote terminal devices
• Asynchronous Specication of Production Cell Benchmark in Integrated Model of Distributed Systems
• Implementing the Bus Protocol of a Microprocessor in a Software-Dened Computer
• ISMIS 2017 Data Mining Competition: TradingBased on Recommendations - XGBoost approach with feature engineering
• Fast Discovery of Generalized Sequential Patterns
• Seismic attributes similarity in facies classication
• Ecient Discovery of Sequential Patterns from Event-Based Spatio-Temporal Data by Applying Microclustering Approach
• Unsupervised machine learning in classication of neurobiological data
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• Multimodal learning determines rules of disease development in longitudinal course with Parkinson's patients
• Comparison of Methods for Real and Imaginary Motion Classication from EEG Signals
• Procedural Generation of Multilevel Dungeons for Application in Computer Games using Schematic Maps and L-system
• An HMM-Based Framework for Supporting Accurate Classication of Music Datasets
• Classication of musical genres by means of listening tests and decision algorithms
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• Towards Entity Timeline Analysis in Polish Political News
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