Trade Paperback. Condizione: Near Fine. *Excellent* Square, clean, and bright. No marks! A little wear to the exterior. I ship daily. 117 pp. Appendices. Bibliography.
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Aggiungi al carrelloPaperback. Condizione: Brand New. 2015 edition. 100 pages. 9.30x6.20x0.23 inches. In Stock.
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Condizione: New. pp. 173 1st ed. 2018 edition NO-PA16APR2015-KAP.
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Da: preigu, Osnabrück, Germania
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Data Analysis Applied To Satellite Images To Calculate The Deforestation | Pattern recognition applied to satellite images | Henry Solarte | Taschenbuch | Englisch | 2020 | Our Knowledge Publishing | EAN 9786203097443 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.
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Condizione: Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.
Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing, 2011
ISBN 10: 3846548332 ISBN 13: 9783846548332
Da: Books Puddle, New York, NY, U.S.A.
Condizione: New.
Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing, 2010
ISBN 10: 3838394453 ISBN 13: 9783838394459
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Pattern Recognition and the Whitehead Minimization Problem | Exploratory data analysis in abstract algebra: mathematical structure discovery through experiment. | Alexey Miasnikov | Taschenbuch | 152 S. | Englisch | 2010 | LAP LAMBERT Academic Publishing | EAN 9783838394459 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.
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Condizione: New. pp. 256.
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Aggiungi al carrelloCondizione: Sehr gut. Zustand: Sehr gut | Seiten: 256 | Sprache: Englisch | Produktart: Bücher | Pattern recognition in data is a well known classical problem that falls under the ambit of data analysis. As we need to handle different data, the nature of patterns, their recognition and the types of data analyses are bound to change. Since the number of data collection channels increases in the recent time and becomes more diversified, many real-world data mining tasks can easily acquire multiple databases from various sources. In these cases, data mining becomes more challenging for several essential reasons. We may encounter sensitive data originating from different sources - those cannot be amalgamated. Even if we are allowed to place different data together, we are certainly not able to analyze them when local identities of patterns are required to be retained. Thus, pattern recognition in multiple databases gives rise to a suite of new, challenging problems different from those encountered before. Association rule mining, global pattern discovery and mining patterns of select items provide different patterns discovery techniques in multiple data sources. Some interesting item-based data analyses are also covered in this book. Interesting patterns, such as exceptional patterns, icebergs and periodic patterns have been recently reported. The book presents a thorough influence analysis between items in time-stamped databases. The recent research on mining multiple related databases is covered while some previous contributions to the area are highlighted and contrasted with the most recent developments.
Da: Buchpark, Trebbin, Germania
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Aggiungi al carrelloCondizione: Sehr gut. Zustand: Sehr gut | Seiten: 256 | Sprache: Englisch | Produktart: Bücher | Pattern recognition in data is a well known classical problem that falls under the ambit of data analysis. As we need to handle different data, the nature of patterns, their recognition and the types of data analyses are bound to change. Since the number of data collection channels increases in the recent time and becomes more diversified, many real-world data mining tasks can easily acquire multiple databases from various sources. In these cases, data mining becomes more challenging for several essential reasons. We may encounter sensitive data originating from different sources - those cannot be amalgamated. Even if we are allowed to place different data together, we are certainly not able to analyze them when local identities of patterns are required to be retained. Thus, pattern recognition in multiple databases gives rise to a suite of new, challenging problems different from those encountered before. Association rule mining, global pattern discovery and mining patterns of select items provide different patterns discovery techniques in multiple data sources. Some interesting item-based data analyses are also covered in this book. Interesting patterns, such as exceptional patterns, icebergs and periodic patterns have been recently reported. The book presents a thorough influence analysis between items in time-stamped databases. The recent research on mining multiple related databases is covered while some previous contributions to the area are highlighted and contrasted with the most recent developments.
Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing, 2011
ISBN 10: 3846548332 ISBN 13: 9783846548332
Da: preigu, Osnabrück, Germania
EUR 66,40
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Learning Structured Data for Human Action Analysis | A unified approach for visual pattern recognition | Tuan Hue Thi | Taschenbuch | 228 S. | Englisch | 2011 | LAP LAMBERT Academic Publishing | EAN 9783846548332 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu.
Da: Majestic Books, Hounslow, Regno Unito
EUR 136,77
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Aggiungi al carrelloCondizione: New. pp. 256 97 Illus.
Da: Biblios, Frankfurt am main, HESSE, Germania
EUR 131,67
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Condizione: New. pp. 238.
Da: Majestic Books, Hounslow, Regno Unito
EUR 141,05
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