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Noise Filtering for Big Data Analytics, Koushik Ghosh, Souvik Bhattacharyya


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Автор: Koushik Ghosh, Souvik Bhattacharyya
Название:  Noise Filtering for Big Data Analytics
ISBN: 9783110697261
Издательство: Walter de Gruyter
Классификация: ISBN-10: 3110697262
Обложка/Формат: Digital (delivered electronically)
Страницы: 164
Вес: 0.00 кг.
Дата издания: 21.06.2022
Серия: Computing & IT
Язык: English
Размер: 230 x 155
Читательская аудитория: Professional and scholarly
Ключевые слова: Algorithms & data structures,Applied mathematics,Artificial intelligence,Calculus & mathematical analysis,Computer networking & communications,Numerical analysis, COMPUTERS / Computer Vision & Pattern Recognition,COMPUTERS / Information Technology,COMPUTE
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Поставляется из: Германии
Описание:

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.




Noise Filtering for Big Data Analytics

Автор: Koushik Ghosh, Souvik Bhattacharyya
Название: Noise Filtering for Big Data Analytics
ISBN: 3110697092 ISBN-13(EAN): 9783110697094
Издательство: Walter de Gruyter
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Цена: 26024.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: 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.

Kalman Filtering: Theory and Practice with MATLAB

Автор: Mohinder S. Grewal,Angus P. Andrews
Название: Kalman Filtering: Theory and Practice with MATLAB
ISBN: 1118851218 ISBN-13(EAN): 9781118851210
Издательство: Wiley
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Цена: 18050.00 р.
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Описание: The definitive textbook and professional reference on Kalman Filtering fully updated, revised, and expanded This book contains the latest developments in the implementation and application of Kalman filtering.

Predictive Filtering For Microsatellite Control Systems

Автор: Cao, Lu
Название: Predictive Filtering For Microsatellite Control Systems
ISBN: 0128218657 ISBN-13(EAN): 9780128218655
Издательство: Elsevier Science
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Цена: 18528.00 р.
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Описание:

Predictive Filtering for Microsatellite Control Systems introduces technological design, modeling, stability analysis, predictive filtering, state estimation problem and real-time operation of spacecraft control systems in aerospace engineering. The book gives a systematically and almost self-contained description of the many facets of envisaging, designing, implementing or experimentally exploring predictive filtering for spacecraft control systems, along with the adequate designs of integrated modeling, dynamics, state estimation, and signal processing of spacecrafts and nonlinear systems.

Filtering Media by Electrospinning: Next Generation Membranes for Separation Applications

Автор: Focarete Maria Letizia, Gualandi Chiara, Ramakrish
Название: Filtering Media by Electrospinning: Next Generation Membranes for Separation Applications
ISBN: 3319781626 ISBN-13(EAN): 9783319781624
Издательство: Springer
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Цена: 23757.00 р.
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Описание: This book covers the state-of-the-art on electrospun materials for the use of filters for water remediation, ion-exchange membranes and affinity membranes for the capture of selected chemical and biochemical species, as well as filtering applications covering air treatment, defense and protective applications, and oil-water separation. The book also provides an overview of the landscape of marketed electrospun filters and of technical approaches for the large scale production of nanofibrous non-woven filter media. This is an ideal book for biomaterials and polymer researchers interested in the applications of filtering media by electrospinning. This book also: * Covers the latest research on ion-exchange membranes and affinity membranes for capture of cells and biological substances * Broadens reader understanding of antimicrobial electrospun filters and sieving filters for liquid microfiltration * Reviews exhaustively the key recent research into electrospun filters for oil-water separation, heavy metals removal, and defense and protective applications

Автор: A. V. Balalkrishnan
Название: Kalman Filtering Theory, University Series in Modern Engineering, Balakrishnan A. V. Springer, 1984
ISBN: 0387909036 ISBN-13(EAN): 9780387909035
Издательство: Amazon Internet
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Цена: 9900.00 р.
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Collaborative Filtering Using Data Mining and Analysis

Автор: Bhatnagar Vishal
Название: Collaborative Filtering Using Data Mining and Analysis
ISBN: 1522504893 ISBN-13(EAN): 9781522504894
Издательство: Mare Nostrum (Eurospan)
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Цена: 28413.00 р.
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Описание: Internet usage has become a normal and essential aspect of everyday life. Due to the immense amount of information available on the web, it has become obligatory to find ways to sift through and categorize the overload of data while removing redundant material. Collaborative Filtering Using Data Mining and Analysis evaluates the latest patterns and trending topics in the utilization of data mining tools and filtering practices. Featuring emergent research and optimization techniques in the areas of opinion mining, text mining, and sentiment analysis, as well as their various applications, this book is an essential reference source for researchers and engineers interested in collaborative filtering.

Digital Signal Processing with MATLAB Examples, Volume 1: Signals and Data, Filtering, Non-Stationary Signals, Modulation

Автор: Giron-Sierra Jose Maria
Название: Digital Signal Processing with MATLAB Examples, Volume 1: Signals and Data, Filtering, Non-Stationary Signals, Modulation
ISBN: 9811096422 ISBN-13(EAN): 9789811096426
Издательство: Springer
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Цена: 12577.00 р.
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Описание: The three books provide a concise exposition of signal processing topics, and a guide to support individual practical exploration based on MATLAB programs.This book includes MATLAB codes to illustrate each of the main steps of the theory, offering a self-contained guide suitable for independent study.

Filtering the Web to Feed Data Warehouses

Автор: Witold Abramowicz; Pawel J. Kalczynski; Krzysztof
Название: Filtering the Web to Feed Data Warehouses
ISBN: 1852335793 ISBN-13(EAN): 9781852335793
Издательство: Springer
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Цена: 13974.00 р.
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Описание: This work discusses how to use information available on the Web to supply company data warehouses.

Modern Singular Spectral-Based Denoising and Filtering Techniques for 2D and 3D Reflection Seismic Data

Автор: by R. Rekapalli.; R. K. Tiwari
Название: Modern Singular Spectral-Based Denoising and Filtering Techniques for 2D and 3D Reflection Seismic Data
ISBN: 3030193039 ISBN-13(EAN): 9783030193034
Издательство: Springer
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Цена: 13974.00 р.
Наличие на складе: Поставка под заказ.

Описание: This book discusses the latest advances in singular spectrum-based algorithms for seismic data processing, providing an update on recent developments in this field.

Filtering the web to feed data warehouses

Автор: Abramowicz, Witold Kalczynski, Pawel J. Wecel, Krzysztof
Название: Filtering the web to feed data warehouses
ISBN: 1447111079 ISBN-13(EAN): 9781447111078
Издательство: Springer
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Цена: 11179.00 р.
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Описание: Introduces a structured decision-making process that draws heavily from principle-based and positive ethics and provides practical applications of the APA Ethics Code while also accounting for federal laws and regulations. Detailed case examples illustrate how to apply this process in a variety of treatment contexts, including hospitals, long-term care facilities, and hospice care.

Networked Filtering and Fusion in Wireless Sensor Networks

Автор: Mahmoud, Magdi S. , Xia, Yuanqing
Название: Networked Filtering and Fusion in Wireless Sensor Networks
ISBN: 1138374938 ISBN-13(EAN): 9781138374935
Издательство: Taylor&Francis
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Цена: 9492.00 р.
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Описание: This book introduces the subject of multi-sensor fusion as the method of choice for implementing distributed systems. Examining the state of the art in information fusion, it covers the known methods, algorithms, architectures, and models of information fusion and discusses their applicability in the context of wireless sensor networks. After reading the book, readers will understand how to model parts of dynamic systems and use those models to develop distributed fusion control algorithms based on feedback control theory.


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