{ "item_title" : "Machine Learning and Knowledge Discovery in Databases", "item_author" : [" Ulf Brefeld", "Elisa Fromont", "Andreas Hotho "], "item_description" : "The three volume proceedings LNAI 11906 - 11908 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2019, held in W rzburg, Germany, in September 2019.The total of 130 regular papers presented in these volumes was carefully reviewed and selected from 733 submissions; there are 10 papers in the demo track.The contributions were organized in topical sections named as follows:Part I: pattern mining; clustering, anomaly and outlier detection, and autoencoders; dimensionality reduction and feature selection; social networks and graphs; decision trees, interpretability, and causality; strings and streams; privacy and security; optimization.Part II: supervised learning; multi-label learning; large-scale learning; deep learning; probabilistic models; natural language processing.Part III: reinforcement learning and bandits; ranking; applied data science: computer vision and explanation; applied data science: healthcare; applied data science: e-commerce, finance, and advertising; applied data science: rich data; applied data science: applications; demo track.Chapter Incorporating Dependencies in Spectral Kernels for Gaussian Processes is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.", "item_img_path" : "https://covers2.booksamillion.com/covers/bam/3/03/046/146/3030461467_b.jpg", "price_data" : { "retail_price" : "109.99", "online_price" : "109.99", "our_price" : "109.99", "club_price" : "109.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }

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