{"product_id":"9783030676698","title":"Lecture Notes in Computer Science: European Conference, ECML PKDD 2020, Ghent, Belgium, September 14–18, 2020, Proceedings, Part V","description":"\u003ch1\u003eLecture Notes in Computer Science: European Conference, ECML PKDD 2020, Ghent, Belgium, September 14–18, 2020, Proceedings, Part V\u003c\/h1\u003e \u003ch2\u003eDong, Yuxiao; Ifrim, Georgiana; Mladenić, Dunja; Saunders, Craig; Van Hoecke, Sofie\u003c\/h2\u003e \u003cp\u003eThe 5-volume proceedings, LNAI 12457 until 12461 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2020, which was held during September 14-18, 2020. The conference was planned to take place in Ghent, Belgium, but had to change to an online format due to the COVID-19 pandemic.\u003c\/p\u003e\u003cp\u003eThe 232 full papers and 10 demo papers presented in this volume were carefully reviewed and selected for inclusion in the proceedings. \u003c\/p\u003e\n\n\u003cp\u003eThe volumes are organized in topical sections as follows:\u003c\/p\u003e\n\n\u003cp\u003e\u003cb\u003ePart I:\u003c\/b\u003e Pattern Mining; clustering; privacy and fairness; (social) network analysis and computational social science; dimensionality reduction and autoencoders; domain adaptation; sketching, sampling, and binary projections; graphical models and causality; (spatio-) temporal data and recurrent neural networks; collaborative filtering and matrix completion.\u003c\/p\u003e\n\n\u003cp\u003e\u003cb\u003ePart II:\u003c\/b\u003e deep learning optimization and theory;active learning; adversarial learning; federated learning; Kernel methods and online learning; partial label learning; reinforcement learning; transfer and multi-task learning; Bayesian optimization and few-shot learning.\u003c\/p\u003e\n\n\u003cp\u003e\u003cb\u003ePart III: \u003c\/b\u003eCombinatorial optimization; large-scale optimization and differential privacy; boosting and ensemble methods; Bayesian methods; architecture of neural networks; graph neural networks; Gaussian processes; computer vision and image processing; natural language processing; bioinformatics.\u003c\/p\u003e\n\n\u003cp\u003e\u003cb\u003ePart IV:\u003c\/b\u003e applied data science: recommendation; applied data science: anomaly detection; applied data science: Web mining; applied data science: transportation; applied data science: activity recognition; applied data science: hardware and manufacturing; applied data science: spatiotemporal data.\u003c\/p\u003e\n\n\u003cp\u003e\u003cb\u003ePart V:\u003c\/b\u003e applied data science: social good; applied data science: healthcare; applied data science: e-commerce and finance; applied data science: computational social science; applied data science: sports; demo track. \u003c\/p\u003e\n\n\u003cp\u003e \u003c\/p\u003e\n\n\u003cp\u003e \u003c\/p\u003e \u003ch3\u003eDetails\u003c\/h3\u003e \u003cp\u003ePublished by: Springer\u003c\/p\u003e \u003cp\u003ePublication Date: 2021-02-25\u003c\/p\u003e \u003cp\u003eFormat: Paperback\u003c\/p\u003e \u003cp\u003eISBN-13: 9783030676698\u003c\/p\u003e \u003cp\u003eDOI: 10.1007\/978-3-030-67670-4\u003c\/p\u003e \u003cp\u003eDimensions: 235cm x155cm\u003c\/p\u003e \u003cp\u003ePages: 577\u003c\/p\u003e ","brand":"Springer International Publishing","offers":[{"title":"Default Title","offer_id":45169109074060,"sku":"9783030676698","price":89.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0710\/9545\/1788\/files\/9783030676698.jpg?v=1774020481","url":"https:\/\/fh90cf-fv.myshopify.com\/products\/9783030676698","provider":"Late Knight Books and Services, LLC","version":"1.0","type":"link"}