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In den Warenkorbpaperback. Zustand: Very Good. Advances in Knowledge Discovery and Data Mining: 23rd Pacific-Asia Conference, PAKDD 2019, Macau, China, April 14-17, 2019, Proceedings, Part I: 11439 (Lecture Notes in Computer Science, 11439) This book is in very good condition and will be shipped within 24 hours of ordering. The cover may have some limited signs of wear but the pages are clean, intact and the spine remains undamaged. This book has clearly been well maintained and looked after thus far. Money back guarantee if you are not satisfied. See all our books here, order more than 1 book and get discounted shipping. .
Paperback. Zustand: As New. No Jacket. Pages are clean and are not marred by notes or folds of any kind. ~ ThriftBooks: Read More, Spend Less.
Sprache: Englisch
Verlag: Hong Kong University Press (edition ), 2011
ISBN 10: 9881785235 ISBN 13: 9789881785237
Anbieter: BooksRun, Philadelphia, PA, USA
Paperback. Zustand: Very Good. It's a well-cared-for item that has seen limited use. The item may show minor signs of wear. All the text is legible, with all pages included. It may have slight markings and/or highlighting.
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Sprache: Chinesisch
Verlag: Jiangxi Science and Technology, 2000
ISBN 10: 7539018178 ISBN 13: 9787539018171
Anbieter: ThriftBooks-Dallas, Dallas, TX, USA
Paperback. Zustand: Good. No Jacket. Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less.
Sprache: Chinesisch
Verlag: Shaanxi Normal University General Publishing House Co.Ltd, 2012
ISBN 10: 7561346255 ISBN 13: 9787561346259
Anbieter: World of Books (was SecondSale), Montgomery, IL, USA
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Sprache: Chinesisch
Verlag: Shaanxi Normal University General Publishing House Co.Ltd, 2012
ISBN 10: 7561346255 ISBN 13: 9787561346259
Anbieter: World of Books (was SecondSale), Montgomery, IL, USA
Zustand: Very Good. Item in very good condition! Textbooks may not include supplemental items i.e. CDs, access codes etc.
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Erstausgabe
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In den WarenkorbZustand: Fine. First edition. Hardback. Octavo. 384pp. New factory sealed hardback. Fine and unread.
Sprache: Englisch
Verlag: Hong Kong University Press, 2018
ISBN 10: 988142416X ISBN 13: 9789881424167
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In den WarenkorbPaperback. Zustand: Brand New. 424 pages. 9.50x6.50x0.94 inches. In Stock.
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In den WarenkorbZustand: New. pp. 350.
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In den WarenkorbZustand: New. pages cm.
PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.
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In den WarenkorbZustand: NEW.
Zustand: Sehr gut. Zustand: Sehr gut | Seiten: 668 | Sprache: Englisch | Produktart: Bücher | The three-volume set LNAI 11439, 11440, and 11441 constitutes the thoroughly refereed proceedings of the 23rd Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2019, held in Macau, China, in April 2019.The 137 full papers presented were carefully reviewed and selected from 542 submissions. The papers present new ideas, original research results, and practical development experiences from all KDD related areas, including data mining, data warehousing, machine learning, artificial intelligence, databases, statistics, knowledge engineering, visualization, decision-making systems, and the emerging applications. They are organized in the following topical sections: classification and supervised learning; text and opinion mining; spatio-temporal and stream data mining; factor and tensor analysis; healthcare, bioinformatics and related topics; clustering and anomaly detection; deep learning models and applications; sequential pattern mining; weakly supervised learning; recommender system; social network and graph mining; data pre-processing and feature selection; representation learning and embedding; mining unstructured and semi-structured data; behavioral data mining; visual data mining; and knowledge graph and interpretable data mining.
Zustand: Sehr gut. Zustand: Sehr gut | Seiten: 668 | Sprache: Englisch | Produktart: Bücher | The three-volume set LNAI 11439, 11440, and 11441 constitutes the thoroughly refereed proceedings of the 23rd Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2019, held in Macau, China, in April 2019.The 137 full papers presented were carefully reviewed and selected from 542 submissions. The papers present new ideas, original research results, and practical development experiences from all KDD related areas, including data mining, data warehousing, machine learning, artificial intelligence, databases, statistics, knowledge engineering, visualization, decision-making systems, and the emerging applications. They are organized in the following topical sections: classification and supervised learning; text and opinion mining; spatio-temporal and stream data mining; factor and tensor analysis; healthcare, bioinformatics and related topics; clustering and anomaly detection; deep learning models and applications; sequential pattern mining; weakly supervised learning; recommender system; social network and graph mining; data pre-processing and feature selection; representation learning and embedding; mining unstructured and semi-structured data; behavioral data mining; visual data mining; and knowledge graph and interpretable data mining.
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In den WarenkorbPaperback. Zustand: Brand New. 352 pages. 9.21x6.14x0.67 inches. In Stock.
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In den WarenkorbZustand: New. Rong-Jun Xie is a senior researcher at the National Institute for Materials Science in Japan. His research interests include nitride phosphor materials for solid state lighting, optical ceramics, and sintering of ceramics.
Zustand: New.
Paperback. Zustand: Very Good. No Jacket. May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less.
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Sprache: Englisch
Verlag: Springer International Publishing, 2019
ISBN 10: 3030161447 ISBN 13: 9783030161446
Anbieter: moluna, Greven, Deutschland
Kartoniert / Broschiert. Zustand: New. The three-volume set LNAI 11439, 11440, and 11441 constitutes the thoroughly refereed proceedings of the 23rd Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2019, held in Macau, China, in April 2019.The 137 full papers pre.
Zustand: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.
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In den WarenkorbZustand: New. In.
Zustand: Sehr gut. Zustand: Sehr gut | Seiten: 664 | Sprache: Englisch | Produktart: Bücher | The three-volume set LNAI 11439, 11440, and 11441 constitutes the thoroughly refereed proceedings of the 23rd Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2019, held in Macau, China, in April 2019.The 137 full papers presented were carefully reviewed and selected from 542 submissions. The papers present new ideas, original research results, and practical development experiences from all KDD related areas, including data mining, data warehousing, machine learning, artificial intelligence, databases, statistics, knowledge engineering, visualization, decision-making systems, and the emerging applications. They are organized in the following topical sections: classification and supervised learning; text and opinion mining; spatio-temporal and stream data mining; factor and tensor analysis; healthcare, bioinformatics and related topics; clustering and anomaly detection; deep learning models and applications; sequential pattern mining; weakly supervised learning; recommender system; social network and graph mining; data pre-processing and featureselection; representation learning and embedding; mining unstructured and semi-structured data; behavioral data mining; visual data mining; and knowledge graph and interpretable data mining.
Sprache: Englisch
Verlag: Springer-Verlag New York Inc, 2019
ISBN 10: 3030161412 ISBN 13: 9783030161415
Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
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In den WarenkorbPaperback. Zustand: Brand New. 584 pages. 9.25x6.10x1.22 inches. In Stock.
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In den WarenkorbZustand: New. In.
Sprache: Englisch
Verlag: Springer-Verlag New York Inc, 2019
ISBN 10: 3030161447 ISBN 13: 9783030161446
Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
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In den WarenkorbPaperback. Zustand: Brand New. 664 pages. 9.25x6.10x1.50 inches. In Stock.