{"product_id":"machine-learning-and-knowledge-discovery-in-databases-european-conference-ecml-pkdd-2022-grenoble-france-september-1923-2022-proceedings-part-vi-9783031264214","title":"Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2022, Grenoble, France, September 19-23, 2022, Proceedings, Part VI","description":"\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cblockquote\u003eThe European Conference on Machine Learning and Knowledge Discovery in Databases,ECML PKDD 2022, held in Grenoble, France, had 236 full papers and 17 Demo Track contributions, covering topics such as clustering, dimensionality reduction, anomaly detection, interpretability, ranking, recommender systems, transfer and multitask learning, networks and graphs, knowledge graphs, social network analysis, graph neural networks, natural language processing, text mining, conversational systems, deep learning, robust and adversarial machine learning, generative models, computer vision, meta-learning, neural architecture search, reinforcement learning, multi-agent reinforcement learning, bandits and online learning, active and semi-supervised learning, private and federated learning, supervised learning, probabilistic inference, optimal transport, optimization, quantum, hardware, sustainability, and time series. \u003c\/blockquote\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eFormat\u003c\/strong\u003e: Paperback \/ softback\u003cbr\u003e\u003cstrong\u003eLength\u003c\/strong\u003e: 669 pages\u003cbr\u003e\u003cstrong\u003ePublication date\u003c\/strong\u003e: 18 March 2023\u003cbr\u003e\u003cstrong\u003ePublisher\u003c\/strong\u003e: Springer International Publishing AG\u003cbr\u003e\u003c\/p\u003e\u003cp\u003e\u003cbr\u003eThe multi-volume set LNAI 13713 until 13718, comprising the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases (ECML PKDD 2022), held in Grenoble, France, in September 2022, represents a comprehensive collection of cutting-edge research and insights. This conference, one of the premier events in the field of machine learning and knowledge discovery, attracted a remarkable 1060 submissions, from which a select 236 full papers were carefully reviewed and accepted for inclusion in these proceedings.\u003cbr\u003e\u003cbr\u003eIn addition to the full papers, the proceedings feature 17 Demo Track contributions, showcasing innovative applications and technologies in the field. The volumes are organized into six topical sections, covering a wide range of machine learning and knowledge discovery topics:\u003cbr\u003e\u003cbr\u003ePart I: Clustering and Dimensionality Reduction\u003cbr\u003eAnomaly Detection\u003cbr\u003eInterpretability and Explainability\u003cbr\u003eRanking and Recommender Systems\u003cbr\u003eTransfer and Multitask Learning\u003cbr\u003e\u003cbr\u003ePart II: Networks and Graphs\u003cbr\u003eKnowledge Graphs\u003cbr\u003eSocial Network Analysis\u003cbr\u003eGraph Neural Networks\u003cbr\u003eNatural Language Processing and Text Mining\u003cbr\u003eConversational Systems\u003cbr\u003e\u003cbr\u003ePart III: Deep Learning\u003cbr\u003eRobust and Adversarial Machine Learning\u003cbr\u003eGenerative Models\u003cbr\u003eComputer Vision\u003cbr\u003eMeta-Learning, Neural Architecture Search\u003cbr\u003e\u003cbr\u003ePart IV: Reinforcement Learning\u003cbr\u003eMulti-Agent Reinforcement Learning\u003cbr\u003eBandits and Online Learning\u003cbr\u003eActive and Semi-Supervised Learning\u003cbr\u003ePrivate and Federated Learning\u003cbr\u003e\u003cbr\u003ePart V: Supervised Learning\u003cbr\u003eProbabilistic Inference\u003cbr\u003eOptimal Transport\u003cbr\u003eOptimization\u003cbr\u003eQuantum, Hardware\u003cbr\u003eSustainability\u003cbr\u003e\u003cbr\u003ePart VI: Time Series\u003cbr\u003eFinancial Machine Learning\u003cbr\u003eApplications\u003cbr\u003eApplications: Transportation\u003cbr\u003eDemo Track\u003cbr\u003e\u003cbr\u003eThese sections encompass a diverse range of machine learning techniques and applications, reflecting the latest advancements and developments in the field. The contributions in LNAI 13713 until 13718 provide valuable insights into the state-of-the-art methodologies, algorithms, and applications that are driving innovation across industries and academia.\u003cbr\u003e\u003cbr\u003eThe conference's success is a testament to the growing importance of machine learning and knowledge discovery in databases, as well as the vibrant research community that continues to push the boundaries of this field. The proceedings serve as a valuable resource for researchers, practitioners, and students interested in advancing their understanding and expertise in machine learning and knowledge discovery.\u003cbr\u003e\u003cbr\u003eWhether you are a seasoned researcher or just starting your journey in this domain, LNAI 13713 until 13718 offers a wealth of knowledge and inspiration to help you stay at the forefront of this rapidly evolving field.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eWeight\u003c\/strong\u003e: 1086g\u003cbr\u003e\u003cstrong\u003eDimension\u003c\/strong\u003e: 235 x 155 (mm)\u003cbr\u003e\u003cstrong\u003eISBN-13\u003c\/strong\u003e: 9783031264214\u003cbr\u003e \u003cstrong\u003eEdition number\u003c\/strong\u003e: 1st ed. 2023\u003c\/p\u003e","brand":"Shulph Ink","offers":[{"title":"Paperback \/ softback","offer_id":44307594510586,"sku":"9783031264214","price":64.04,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0522\/4297\/2845\/products\/noImage_1_7dd8cd59-38aa-477c-b5d0-21f0eb3d0a1b.jpg?v=1688110177","url":"https:\/\/shulphink.com\/products\/machine-learning-and-knowledge-discovery-in-databases-european-conference-ecml-pkdd-2022-grenoble-france-september-1923-2022-proceedings-part-vi-9783031264214","provider":"Shulph Ink","version":"1.0","type":"link"}