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    Intelligent Methods and Big Data in Industrial Applications

    Baskı/Yayın Bilgisi Springer International Publishing : Imprint: Springer, 2019.
    İçindekiler: “…- Modelling OpenStreepMap data for determination of the fastest route under varying driving conditions -- Evolution algorithm for community detection in social networks using node centrality -- 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 -- Incorporating Fuzzy Logic in Object-Relational Mapping Layer for Flexible Medical Screenings -- 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 -- Handwritten signature verication system employing wireless biometric pen -- Towards Entity Timeline Analysis in Polish Political News -- Automatic Legal Document Analysis: Improving the Results of Information Extraction Processes using an Ontology -- To improve, or not to improve; how changes in corpora inuence the results of machine learning tasks on the example of datasets used for paraphrase identication -- Context Sensitive Sentiment Analysis of Financial Tweets: A New Dictionary.…”
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