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Published by New India Publishing Agency, 2016
ISBN 10: 9385516639 ISBN 13: 9789385516634
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Published by New India Publishing Agency, 2016
ISBN 10: 9385516639 ISBN 13: 9789385516634
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Published by New India Publishing Agency, 2016
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Published by MPNPA New India Publishing Agency NIPA, 2016
ISBN 10: 8119254414 ISBN 13: 9788119254415
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Published by New India Publishing Agency, 2016
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Published by New India Publishing Agency, 2023
ISBN 10: 8119254414 ISBN 13: 9788119254415
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Published by LAP LAMBERT Academic Publishing, 2010
ISBN 10: 3838397207 ISBN 13: 9783838397207
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Published by LAP LAMBERT Academic Publishing, 2012
ISBN 10: 3659137693 ISBN 13: 9783659137693
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Buch. Condition: 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.
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