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Noise Filtering for Big Data Analytics

Author: Souvik Bhattacharyya

Publisher:

ISBN: 3110697092

Category: Computers

Page: 248

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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
Language: en
Pages: 248
Authors: Souvik Bhattacharyya, Koushik Ghosh
Categories: Computers
Type: BOOK - Published: 2021-01-15 - Publisher:

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
The Internet of Things and Big Data Analytics
Language: en
Pages: 324
Authors: Pethuru Raj, T Poongodi, Balamurugan Balusamy, Manju Khari
Categories: Computers
Type: BOOK - Published: 2020-06-07 - Publisher: CRC Press

This book comprehensively conveys the theoretical and practical aspects of IoT and big data analytics with the solid contributions from practitioners as well as academicians. This book examines and expounds the unique capabilities of the big data analytics platforms in capturing, cleansing and crunching IoT device/sensor data in order to
Big Data Analytics for Time-Critical Mobility Forecasting
Language: en
Pages: 361
Authors: George A. Vouros, Gennady Andrienko, Christos Doulkeridis, Nikolaos Pelekis, Alexander Artikis, Anne-Laure Jousselme, Cyril Ray, Jose Manuel Cordero, David Scarlatti
Categories: Computers
Type: BOOK - Published: 2020-06-23 - Publisher: Springer Nature

This book provides detailed descriptions of big data solutions for activity detection and forecasting of very large numbers of moving entities spread across large geographical areas. It presents state-of-the-art methods for processing, managing, detecting and predicting trajectories and important events related to moving entities, together with advanced visual analytics methods,
Machine Learning for Big Data Analysis
Language: en
Pages: 193
Authors: Siddhartha Bhattacharyya, Hrishikesh Bhaumik, Anirban Mukherjee, Sourav De
Categories: Computers
Type: BOOK - Published: 2018-12-17 - Publisher: Walter de Gruyter GmbH & Co KG

This volume comprises six well-versed contributed chapters devoted to report the latest fi ndings on the applications of machine learning for big data analytics. Big data is a term for data sets that are so large or complex that traditional data processing application software is inadequate to deal with them.
Big Data Analytics for Cyber-Physical System in Smart City
Language: en
Pages: 2016
Authors: Mohammed Atiquzzaman, Neil Yen, Zheng Xu
Categories: Technology & Engineering
Type: BOOK - Published: 2020-01-11 - Publisher: Springer Nature

This book gathers a selection of peer-reviewed papers presented at the first Big Data Analytics for Cyber-Physical System in Smart City (BDCPS 2019) conference, held in Shengyang, China, on 28–29 December 2019. The contributions, prepared by an international team of scientists and engineers, cover the latest advances made in the