EUR 15,18
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Aggiungi al carrelloSoft cover. Condizione: New. ISBN:9789354642210,Territorial restriction maybe printed on the book. This is an Int'l edition, ISBN and cover may differ from US edition, Contents same as US edition.
Lingua: Inglese
ISBN 10: 9354642217 ISBN 13: 9789354642210
Da: Readify Books, New Castle, DE, U.S.A.
Paperback. Condizione: NEW. International Edition, Brand New, ISBN and Cover same but contents similar to U.S. Edition, We ship from multiple Locations including India. Legal to use despite any disclaimer, We ship to PO , APO and FPO adresses in U.S.A. Ship from multiple Locations including India Choose Expedited Shipping for FASTER DELIVERY.Customer Satisfaction Guaranteed.
Da: UK BOOKS STORE, London, LONDO, Regno Unito
EUR 43,38
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Aggiungi al carrelloPaperback. Condizione: New. Brand New! Fast Delivery This is an International Edition and ship within 24-48 hours. Deliver by FedEx and Dhl, & Aramex, UPS, & USPS and we do accept APO and PO BOX Addresses. Order can be delivered worldwide within 6-10 days and we do have flat rate for up to 2LB. Extra shipping charges will be requested if the Book weight is more than 5 LB. This Item May be shipped from India, United states & United Kingdom. Depending on your location and availability.
Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing, 2019
ISBN 10: 3659966452 ISBN 13: 9783659966453
Da: Revaluation Books, Exeter, Regno Unito
EUR 72,25
Quantità: 1 disponibili
Aggiungi al carrelloPaperback. Condizione: Brand New. 64 pages. 8.66x5.91x0.15 inches. In Stock.
Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing, 2019
ISBN 10: 3659966452 ISBN 13: 9783659966453
Da: moluna, Greven, Germania
EUR 34,25
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Aggiungi al carrelloCondizione: New.
Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing, 2019
ISBN 10: 3659966452 ISBN 13: 9783659966453
Da: preigu, Osnabrück, Germania
EUR 36,25
Quantità: 5 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. Study and Analysis on Some Aspects | of Steganography Technique for Information Hiding | Souvik Bhattacharyya | Taschenbuch | 64 S. | Englisch | 2019 | LAP LAMBERT Academic Publishing | EAN 9783659966453 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.
EUR 159,36
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Aggiungi al carrelloHRD. Condizione: New. New Book. Shipped from UK. Established seller since 2000.
Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 151,95
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Aggiungi al carrelloCondizione: New. In.
EUR 164,81
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HRD. Condizione: New. New Book. Shipped from UK. Established seller since 2000.
EUR 167,04
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Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
EUR 151,94
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Aggiungi al carrelloCondizione: New.
EUR 169,46
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Aggiungi al carrelloCondizione: new.
EUR 168,26
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Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
Da: Majestic Books, Hounslow, Regno Unito
EUR 199,35
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Da: Revaluation Books, Exeter, Regno Unito
EUR 198,43
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Aggiungi al carrelloHardcover. Condizione: Brand New. 248 pages. 6.69x9.45x0.67 inches. In Stock.
EUR 159,95
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Aggiungi al carrelloCondizione: New. Souvik Bhattacharyya, Koushik Ghosh, University of Burdwan,West Bengal, India.This book explains how to perform data de-noising, in large scale, with a satisfactory level of accuracy. Three main issues are considered. Firstly,.
EUR 104,86
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Aggiungi al carrelloCondizione: Sehr gut. Zustand: Sehr gut | Sprache: Englisch | Produktart: Bücher | Keine Beschreibung verfügbar.
Condizione: New.
EUR 159,95
Quantità: 2 disponibili
Aggiungi al carrelloBuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book explains how to perform data de-noising, in large scale, with a satisfactory level of accuracy. Three main issues are considered. Firstly, how to eliminate the error propagation from one stage to next stages while developing a filtered model. Secondly, how to maintain the positional importance of data whilst purifying it. Finally, preservation of memory in the data is crucial to extract smart data from noisy big data. If, after the application of any form of smoothing or filtering, the memory of the corresponding data changes heavily, then the final data may lose some important information. This may lead to wrong or erroneous conclusions. But, when anticipating any loss of information due to smoothing or filtering, one cannot avoid the process of denoising as on the other hand any kind of analysis of big data in the presence of noise can be misleading. So, the entire process demands very careful execution with efficient and smart models in order to effectively deal with it.
EUR 186,32
Quantità: Più di 20 disponibili
Aggiungi al carrelloHardback. Condizione: New. This book explains how to perform data de-noising, in large scale, with a satisfactory level of accuracy. Three main issues are considered. Firstly, how to eliminate the error propagation from one stage to next stages while developing a filtered model. Secondly, how to maintain the positional importance of data whilst purifying it. Finally, preservation of memory in the data is crucial to extract smart data from noisy big data. If, after the application of any form of smoothing or filtering, the memory of the corresponding data changes heavily, then the final data may lose some important information. This may lead to wrong or erroneous conclusions. But, when anticipating any loss of information due to smoothing or filtering, one cannot avoid the process of denoising as on the other hand any kind of analysis of big data in the presence of noise can be misleading. So, the entire process demands very careful execution with efficient and smart models in order to effectively deal with it.
EUR 155,80
Quantità: 2 disponibili
Aggiungi al carrelloBuch. Condizione: Neu. Noise Filtering for Big Data Analytics | Souvik Bhattacharyya (u. a.) | Buch | VIII | Englisch | 2022 | De Gruyter | EAN 9783110697094 | Verantwortliche Person für die EU: Walter de Gruyter GmbH, De Gruyter GmbH, Genthiner Str. 13, 10785 Berlin, productsafety[at]degruyterbrill[dot]com | Anbieter: preigu.
Da: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irlanda
EUR 232,22
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Aggiungi al carrelloCondizione: New. 2022. Hardcover. . . . . .
EUR 300,01
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Aggiungi al carrelloCondizione: New. 2022. Hardcover. . . . . . Books ship from the US and Ireland.
Da: Mispah books, Redhill, SURRE, Regno Unito
EUR 327,57
Quantità: 1 disponibili
Aggiungi al carrellohardcover. Condizione: New. NEW. SHIPS FROM MULTIPLE LOCATIONS. book.
Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing Apr 2019, 2019
ISBN 10: 3659966452 ISBN 13: 9783659966453
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
EUR 39,90
Quantità: 2 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Maintaining the secrecy of information is of great concern today. Steganography is the art and science that hides the information in an appropriate cover carrier like image, text, audio and video media.The advantage of steganography as compared to cryptography is that the hidden message does not draw attention towards itself. The security of the classical steganography system relies on the secrecy of the encoding system. However the steganography system may be defeated if and only if the encoding algorithm may be known. Because of their invasive nature, steganography system leads to detectable traces within a medium characteristic. 64 pp. Englisch.
Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing Apr 2019, 2019
ISBN 10: 3659966452 ISBN 13: 9783659966453
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
EUR 39,90
Quantità: 1 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Maintaining the secrecy of information is of great concern today. Steganography is the art and science that hides the information in an appropriate cover carrier like image, text, audio and video media.The advantage of steganography as compared to cryptography is that the hidden message does not draw attention towards itself. The security of the classical steganography system relies on the secrecy of the encoding system. However the steganography system may be defeated if and only if the encoding algorithm may be known. Because of their invasive nature, steganography system leads to detectable traces within a medium characteristic.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 64 pp. Englisch.
Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing, 2019
ISBN 10: 3659966452 ISBN 13: 9783659966453
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 40,89
Quantità: 1 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Maintaining the secrecy of information is of great concern today. Steganography is the art and science that hides the information in an appropriate cover carrier like image, text, audio and video media.The advantage of steganography as compared to cryptography is that the hidden message does not draw attention towards itself. The security of the classical steganography system relies on the secrecy of the encoding system. However the steganography system may be defeated if and only if the encoding algorithm may be known. Because of their invasive nature, steganography system leads to detectable traces within a medium characteristic.
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
EUR 159,95
Quantità: 2 disponibili
Aggiungi al carrelloBuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book explains how to perform data de-noising, in large scale, with a satisfactory level of accuracy. Three main issues are considered. Firstly, how to eliminate the error propagation from one stage to next stages while developing a filtered model. Secondly, how to maintain the positional importance of data whilst purifying it. Finally, preservation of memory in the data is crucial to extract smart data from noisy big data. If, after the application of any form of smoothing or filtering, the memory of the corresponding data changes heavily, then the final data may lose some important information. This may lead to wrong or erroneous conclusions. But, when anticipating any loss of information due to smoothing or filtering, one cannot avoid the process of denoising as on the other hand any kind of analysis of big data in the presence of noise can be misleading. So, the entire process demands very careful execution with efficient and smart models in order to effectively deal with it. 156 pp. Englisch.