{"title":"Petra Perner","description":null,"products":[{"product_id":"machine-learning-and-data-mining-in-pattern-recognition-springer-international-publishing-ag-9783319624150-13th-international-conference-mldm-2017-new-york-ny-usa-july-15-20-2017-proceedings-petra-perner","title":"Machine Learning and Data Mining in Pattern Recognition","description":"\u003cp\u003eDiscover the fascinating world of data analysis with \u003cstrong\u003eMachine Learning and Data Mining in Pattern Recognition\u003c\/strong\u003e by \u003cstrong\u003ePetra Perner\u003c\/strong\u003e. Published in 2017 by \u003cstrong\u003eSpringer International Publishing AG\u003c\/strong\u003e, this comprehensive paperback edition spans 452 pages and is an essential resource for anyone interested in the intersection of machine learning and data mining.\u003c\/p\u003e \n\n\u003cp\u003eThis book delves into a variety of theoretical topics including classification, clustering, association rule learning, and pattern mining. 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Published by \u003cstrong\u003eSpringer International Publishing AG\u003c\/strong\u003e in 2016, this comprehensive paperback edition spans an impressive \u003cstrong\u003e807 pages\u003c\/strong\u003e and is the first of its kind. This book delves into a variety of essential topics, including theoretical foundations for classification, clustering, association rules, and pattern mining. It also covers specialized data mining techniques tailored for multimedia data types, such as image mining, text mining, video mining, and web mining. Whether you are a student, researcher, or professional in the field, this book is an invaluable resource for understanding the intersection of machine learning and data mining. 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This comprehensive volume, published by \u003cstrong\u003eSpringer International Publishing AG\u003c\/strong\u003e in 2016, presents the refereed proceedings of the 16th Industrial Conference on Advances in Data Mining (ICDM 2016), held in New York, NY. With a total of \u003cstrong\u003e446 pages\u003c\/strong\u003e, this first edition features 33 meticulously reviewed full papers selected from over 100 submissions, showcasing cutting-edge research and applications in the field. Ideal for researchers, practitioners, and students, this book offers valuable knowledge on both theoretical aspects and practical applications of data mining. 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