Clustering Methods For Big Data Analytics

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Clustering Methods for Big Data Analytics

Olfa Nasraoui,Chiheb-Eddine Ben N'Cir
Clustering Methods for Big Data Analytics Book PDF

Author : Olfa Nasraoui,Chiheb-Eddine Ben N'Cir
Publisher : Springer
Page : 187 pages
File Size : 52,6 Mb
Release : 2018-10-27
Category : Technology & Engineering
ISBN : 9783319978642

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Clustering Methods for Big Data Analytics by Olfa Nasraoui,Chiheb-Eddine Ben N'Cir Pdf

This book highlights the state of the art and recent advances in Big Data clustering methods and their innovative applications in contemporary AI-driven systems. The book chapters discuss Deep Learning for Clustering, Blockchain data clustering, Cybersecurity applications such as insider threat detection, scalable distributed clustering methods for massive volumes of data; clustering Big Data Streams such as streams generated by the confluence of Internet of Things, digital and mobile health, human-robot interaction, and social networks; Spark-based Big Data clustering using Particle Swarm Optimization; and Tensor-based clustering for Web graphs, sensor streams, and social networks. The chapters in the book include a balanced coverage of big data clustering theory, methods, tools, frameworks, applications, representation, visualization, and clustering validation.

Big Data Analytics

Saumyadipta Pyne,B.L.S. Prakasa Rao,S.B. Rao
Big Data Analytics Book PDF

Author : Saumyadipta Pyne,B.L.S. Prakasa Rao,S.B. Rao
Publisher : Springer
Page : 276 pages
File Size : 52,5 Mb
Release : 2016-10-12
Category : Computers
ISBN : 9788132236283

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Big Data Analytics by Saumyadipta Pyne,B.L.S. Prakasa Rao,S.B. Rao Pdf

This book has a collection of articles written by Big Data experts to describe some of the cutting-edge methods and applications from their respective areas of interest, and provides the reader with a detailed overview of the field of Big Data Analytics as it is practiced today. The chapters cover technical aspects of key areas that generate and use Big Data such as management and finance; medicine and healthcare; genome, cytome and microbiome; graphs and networks; Internet of Things; Big Data standards; bench-marking of systems; and others. In addition to different applications, key algorithmic approaches such as graph partitioning, clustering and finite mixture modelling of high-dimensional data are also covered. The varied collection of themes in this volume introduces the reader to the richness of the emerging field of Big Data Analytics.

Computational Science and Its Applications - ICCSA 2014

Beniamino Murgante,Sanjay Misra,Ana Maria Alves Coutinho Rocha,Carmelo Torre,Jorge Gustavo Rocha,Maria Irene Falcão,David Taniar,Bernady O. Apduhan,Osvaldo Gervasi
Computational Science and Its Applications ICCSA 2014 Book PDF

Author : Beniamino Murgante,Sanjay Misra,Ana Maria Alves Coutinho Rocha,Carmelo Torre,Jorge Gustavo Rocha,Maria Irene Falcão,David Taniar,Bernady O. Apduhan,Osvaldo Gervasi
Publisher : Springer
Page : 808 pages
File Size : 52,5 Mb
Release : 2014-07-02
Category : Computers
ISBN : 9783319091563

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Computational Science and Its Applications - ICCSA 2014 by Beniamino Murgante,Sanjay Misra,Ana Maria Alves Coutinho Rocha,Carmelo Torre,Jorge Gustavo Rocha,Maria Irene Falcão,David Taniar,Bernady O. Apduhan,Osvaldo Gervasi Pdf

The six-volume set LNCS 8579-8584 constitutes the refereed proceedings of the 14th International Conference on Computational Science and Its Applications, ICCSA 2014, held in Guimarães, Portugal, in June/July 2014. The 347 revised papers presented in 30 workshops and a special track were carefully reviewed and selected from 1167. The 289 papers presented in the workshops cover various areas in computational science ranging from computational science technologies to specific areas of computational science such as computational geometry and security.

Data Science

Francesco Palumbo,Angela Montanari,Maurizio Vichi
Data Science Book PDF

Author : Francesco Palumbo,Angela Montanari,Maurizio Vichi
Publisher : Springer
Page : 342 pages
File Size : 48,9 Mb
Release : 2017-07-04
Category : Mathematics
ISBN : 9783319557236

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Data Science by Francesco Palumbo,Angela Montanari,Maurizio Vichi Pdf

This edited volume on the latest advances in data science covers a wide range of topics in the context of data analysis and classification. In particular, it includes contributions on classification methods for high-dimensional data, clustering methods, multivariate statistical methods, and various applications. The book gathers a selection of peer-reviewed contributions presented at the Fifteenth Conference of the International Federation of Classification Societies (IFCS2015), which was hosted by the Alma Mater Studiorum, University of Bologna, from July 5 to 8, 2015.

Big Data Analytics

P. Krishna Reddy,Ashish Sureka,Sharma Chakravarthy,Subhash Bhalla
Big Data Analytics Book PDF

Author : P. Krishna Reddy,Ashish Sureka,Sharma Chakravarthy,Subhash Bhalla
Publisher : Springer
Page : 316 pages
File Size : 51,5 Mb
Release : 2017-12-04
Category : Computers
ISBN : 9783319724133

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Big Data Analytics by P. Krishna Reddy,Ashish Sureka,Sharma Chakravarthy,Subhash Bhalla Pdf

This book constitutes the refereed conference proceedings of the 5th International Conference on Big Data Analytics, BDA 2017, held in Hyderabad, India, in December 2017. The 21 revised full papers were carefully reviewed and selected from 80 submissions and cover topics on big data analytics, information and knowledge management, mining of massive datasets, computational modeling, data mining and analysis.

Big Data Analytics and Knowledge Discovery

Min Song,Il-Yeol Song,Gabriele Kotsis,A Min Tjoa,Ismail Khalil
Big Data Analytics and Knowledge Discovery Book PDF

Author : Min Song,Il-Yeol Song,Gabriele Kotsis,A Min Tjoa,Ismail Khalil
Publisher : Springer Nature
Page : 413 pages
File Size : 54,5 Mb
Release : 2020-09-10
Category : Computers
ISBN : 9783030590659

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Big Data Analytics and Knowledge Discovery by Min Song,Il-Yeol Song,Gabriele Kotsis,A Min Tjoa,Ismail Khalil Pdf

The volume LNCS 12393 constitutes the papers of the 22nd International Conference Big Data Analytics and Knowledge Discovery which will be held online in September 2020. The 15 full papers presented together with 14 short papers plus 1 position paper in this volume were carefully reviewed and selected from a total of 77 submissions. This volume offers a wide range to following subjects on theoretical and practical aspects of big data analytics and knowledge discovery as a new generation of big data repository, data pre-processing, data mining, text mining, sequences, graph mining, and parallel processing.

Big Data Analytics

Arun K. Somani,Ganesh Chandra Deka
Big Data Analytics Book PDF

Author : Arun K. Somani,Ganesh Chandra Deka
Publisher : CRC Press
Page : 484 pages
File Size : 49,8 Mb
Release : 2017-10-30
Category : Computers
ISBN : 9781315391243

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Big Data Analytics by Arun K. Somani,Ganesh Chandra Deka Pdf

The proposed book will discuss various aspects of big data Analytics. It will deliberate upon the tools, technology, applications, use cases and research directions in the field. Chapters would be contributed by researchers, scientist and practitioners from various reputed universities and organizations for the benefit of readers.

Big Data Analytics Methods

Peter Ghavami
Big Data Analytics Methods Book PDF

Author : Peter Ghavami
Publisher : Walter de Gruyter GmbH & Co KG
Page : 282 pages
File Size : 48,7 Mb
Release : 2019-12-16
Category : Business & Economics
ISBN : 9781547401581

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Big Data Analytics Methods by Peter Ghavami Pdf

Big Data Analytics Methods unveils secrets to advanced analytics techniques ranging from machine learning, random forest classifiers, predictive modeling, cluster analysis, natural language processing (NLP), Kalman filtering and ensembles of models for optimal accuracy of analysis and prediction. More than 100 analytics techniques and methods provide big data professionals, business intelligence professionals and citizen data scientists insight on how to overcome challenges and avoid common pitfalls and traps in data analytics. The book offers solutions and tips on handling missing data, noisy and dirty data, error reduction and boosting signal to reduce noise. It discusses data visualization, prediction, optimization, artificial intelligence, regression analysis, the Cox hazard model and many analytics using case examples with applications in the healthcare, transportation, retail, telecommunication, consulting, manufacturing, energy and financial services industries. This book's state of the art treatment of advanced data analytics methods and important best practices will help readers succeed in data analytics.

Handbook of Research on Big Data Clustering and Machine Learning

Garcia Marquez, Fausto Pedro
Handbook of Research on Big Data Clustering and Machine Learning Book PDF

Author : Garcia Marquez, Fausto Pedro
Publisher : IGI Global
Page : 478 pages
File Size : 51,7 Mb
Release : 2019-10-04
Category : Computers
ISBN : 9781799801078

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Handbook of Research on Big Data Clustering and Machine Learning by Garcia Marquez, Fausto Pedro Pdf

As organizations continue to develop, there is an increasing need for technological methods that can keep up with the rising amount of data and information that is being generated. Machine learning is a tool that has become powerful due to its ability to analyze large amounts of data quickly. Machine learning is one of many technological advancements that is being implemented into a multitude of specialized fields. An extensive study on the execution of these advancements within professional industries is necessary. The Handbook of Research on Big Data Clustering and Machine Learning is an essential reference source that synthesizes the analytic principles of clustering and machine learning to big data and provides an interface between the main disciplines of engineering/technology and the organizational, administrative, and planning abilities of management. Featuring research on topics such as project management, contextual data modeling, and business information systems, this book is ideally designed for engineers, economists, finance officers, marketers, decision makers, business professionals, industry practitioners, academicians, students, and researchers seeking coverage on the implementation of big data and machine learning within specific professional fields.

BIG DATA ANALYTICS

Parag Kulkarni,Sarang Joshi,,Meta S. Brown
BIG DATA ANALYTICS Book PDF

Author : Parag Kulkarni,Sarang Joshi,,Meta S. Brown
Publisher : PHI Learning Pvt. Ltd.
Page : 208 pages
File Size : 49,6 Mb
Release : 2016-07-07
Category : Language Arts & Disciplines
ISBN : 9788120351165

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BIG DATA ANALYTICS by Parag Kulkarni,Sarang Joshi,,Meta S. Brown Pdf

The book is an unstructured data mining quest, which takes the reader through different features of unstructured data mining while unfolding the practical facets of Big Data. It emphasizes more on machine learning and mining methods required for processing and decision-making. The text begins with the introduction to the subject and explores the concept of data mining methods and models along with the applications. It then goes into detail on other aspects of Big Data analytics, such as clustering, incremental learning, multi-label association and knowledge representation. The readers are also made familiar with business analytics to create value. The book finally ends with a discussion on the areas where research can be explored.

Intelligent and Fuzzy Techniques in Big Data Analytics and Decision Making

Cengiz Kahraman,Selcuk Cebi,Sezi Cevik Onar,Basar Oztaysi,A. Cagri Tolga,Irem Ucal Sari
Intelligent and Fuzzy Techniques in Big Data Analytics and Decision Making Book PDF

Author : Cengiz Kahraman,Selcuk Cebi,Sezi Cevik Onar,Basar Oztaysi,A. Cagri Tolga,Irem Ucal Sari
Publisher : Springer
Page : 1392 pages
File Size : 46,6 Mb
Release : 2019-07-05
Category : Technology & Engineering
ISBN : 9783030237561

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Intelligent and Fuzzy Techniques in Big Data Analytics and Decision Making by Cengiz Kahraman,Selcuk Cebi,Sezi Cevik Onar,Basar Oztaysi,A. Cagri Tolga,Irem Ucal Sari Pdf

This book includes the proceedings of the Intelligent and Fuzzy Techniques INFUS 2019 Conference, held in Istanbul, Turkey, on July 23–25, 2019. Big data analytics refers to the strategy of analyzing large volumes of data, or big data, gathered from a wide variety of sources, including social networks, videos, digital images, sensors, and sales transaction records. Big data analytics allows data scientists and various other users to evaluate large volumes of transaction data and other data sources that traditional business systems would be unable to tackle. Data-driven and knowledge-driven approaches and techniques have been widely used in intelligent decision-making, and they are increasingly attracting attention due to their importance and effectiveness in addressing uncertainty and incompleteness. INFUS 2019 focused on intelligent and fuzzy systems with applications in big data analytics and decision-making, providing an international forum that brought together those actively involved in areas of interest to data science and knowledge engineering. These proceeding feature about 150 peer-reviewed papers from countries such as China, Iran, Turkey, Malaysia, India, USA, Spain, France, Poland, Mexico, Bulgaria, Algeria, Pakistan, Australia, Lebanon, and Czech Republic.

Computational Intelligence for Big Data Analysis

D.P. Acharjya,Satchidananda Dehuri,Sugata Sanyal
Computational Intelligence for Big Data Analysis Book PDF

Author : D.P. Acharjya,Satchidananda Dehuri,Sugata Sanyal
Publisher : Springer
Page : 267 pages
File Size : 40,6 Mb
Release : 2015-04-21
Category : Technology & Engineering
ISBN : 9783319165981

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Computational Intelligence for Big Data Analysis by D.P. Acharjya,Satchidananda Dehuri,Sugata Sanyal Pdf

The work presented in this book is a combination of theoretical advancements of big data analysis, cloud computing, and their potential applications in scientific computing. The theoretical advancements are supported with illustrative examples and its applications in handling real life problems. The applications are mostly undertaken from real life situations. The book discusses major issues pertaining to big data analysis using computational intelligence techniques and some issues of cloud computing. An elaborate bibliography is provided at the end of each chapter. The material in this book includes concepts, figures, graphs, and tables to guide researchers in the area of big data analysis and cloud computing.

Big Data Analytics

Arun K. Somani,Ganesh Chandra Deka
Big Data Analytics Book PDF

Author : Arun K. Somani,Ganesh Chandra Deka
Publisher : CRC Press
Page : 399 pages
File Size : 46,7 Mb
Release : 2017-10-30
Category : Computers
ISBN : 9781351180320

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Big Data Analytics by Arun K. Somani,Ganesh Chandra Deka Pdf

The proposed book will discuss various aspects of big data Analytics. It will deliberate upon the tools, technology, applications, use cases and research directions in the field. Chapters would be contributed by researchers, scientist and practitioners from various reputed universities and organizations for the benefit of readers.

Fog Computing, Deep Learning and Big Data Analytics-Research Directions

C.S.R. Prabhu
Fog Computing Deep Learning and Big Data Analytics Research Directions Book PDF

Author : C.S.R. Prabhu
Publisher : Springer
Page : 71 pages
File Size : 53,8 Mb
Release : 2019-01-04
Category : Computers
ISBN : 9789811332098

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Fog Computing, Deep Learning and Big Data Analytics-Research Directions by C.S.R. Prabhu Pdf

This book provides a comprehensive picture of fog computing technology, including of fog architectures, latency aware application management issues with real time requirements, security and privacy issues and fog analytics, in wide ranging application scenarios such as M2M device communication, smart homes, smart vehicles, augmented reality and transportation management. This book explores the research issues involved in the application of traditional shallow machine learning and deep learning techniques to big data analytics. It surveys global research advances in extending the conventional unsupervised or clustering algorithms, extending supervised and semi-supervised algorithms and association rule mining algorithms to big data Scenarios. Further it discusses the deep learning applications of big data analytics to fields of computer vision and speech processing, and describes applications such as semantic indexing and data tagging. Lastly it identifies 25 unsolved research problems and research directions in fog computing, as well as in the context of applying deep learning techniques to big data analytics, such as dimensionality reduction in high-dimensional data and improved formulation of data abstractions along with possible directions for their solutions.

Clustering Algorithms

John A. Hartigan
Clustering Algorithms Book PDF

Author : John A. Hartigan
Publisher : John Wiley & Sons
Page : 374 pages
File Size : 49,5 Mb
Release : 1975
Category : Mathematics
ISBN : UOM:39015016356829

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Clustering Algorithms by John A. Hartigan Pdf

Shows how Galileo, Newton, and Einstein tried to explain gravity. Discusses the concept of microgravity and NASA's research on gravity and microgravity.