Название: Advanced Data Mining Tools and Methods for Social Computing
Автор: Sourav De, Sandip Dey
Издательство: Academic Press, Elsevier
Год: 2022
Страниц: 292
Язык: английский
Формат: pdf, epub
Размер: 10.2 MB

Advanced Data Mining Tools and Methods for Social Computing explores advances in the latest data mining tools, methods, algorithms and the architectures being developed specifically for social computing and social network analysis. The book reviews major emerging trends in technology that are supporting current advancements in social networks, including data mining techniques and tools. It also aims to highlight the advancement of conventional approaches in the field of social networking. Chapter coverage includes reviews of novel techniques and state-of-the-art advances in the area of data mining, Machine Learning, soft computing techniques, and their applications in the field of social network analysis.

Название: Industry 4.0 Interoperability, Analytics, Security, and Case Studies
Автор: G. Rajesh, X. Mercilin Raajini
Издательство: CRC Press
Серия: Big Data for Industry 4.0: Challenges and Applications
Год: 2021
Страниц: 332
Язык: английский
Формат: pdf (true), epub
Размер: 12.9 MB

All over the world, vast research is in progress on the domain of Industry 4.0 and related techniques. Industry 4.0 is expected to have a very high impact on labor markets, global value chains, education, health, environment, and many social economic aspects. Industry 4.0 Interoperability, Analytics, Security, and Case Studies provides a deeper understanding of the drivers and enablers of Industry 4.0. It includes real case studies of various applications related to different fields, such as cyber physical systems (CPS), Internet of Things (IoT), cloud computing, Machine Learning, virtualization, decentralization, blockchain, fog computing, and many other related areas. Also discussed are interoperability, design, and implementation challenges. Big Data Analytics (BDA) can be referred to as “the process of analyzing large scale datasets in order to find unknown correlations, hidden patterns, and other valuable information which is not able to be analysed using conventional data analytics”, as the conventional data analysis techniques are no longer effective because of the special characteristics of big data: massive, heterogeneous, high dimensional, complex, erroneous, unstructured, noisy, and incomplete.

Название: Big Data Intelligence for Smart Applications
Автор: Youssef Baddi, Youssef Gahi, Yassine Maleh
Издательство: Springer
Год: 2022
Страниц: 343
Язык: английский
Формат: pdf (true), epub
Размер: 38.9 MB

Today, the use of Machine Intelligence, expert systems, and analytical technologies combined with Big Data is the natural evolution of both disciplines. As a result, there is a pressing need for new and innovative algorithms to help us find effective and practical solutions for smart applications such as smart cities, IoT, healthcare, and cybersecurity. This book presents the latest advances in Big Data intelligence for smart applications. It explores several problems and their solutions regarding computational intelligence and big data for smart applications. It also discusses new models, practical solutions,and technological advances related to developing and transforming cities through Machine Intelligence and Big Data models and techniques. This book is helpful for students and researchers as well as practitioners. It is worth noting that technologies such as Artificial intelligence and Big Data are evolving even faster. They are rapidly growing by holding great promise for many sectors. The real revolutionary potential of these technologies mainly relies on their convergence. Big Data and Artificial Intelligence are two technologies that are inextricably linked, to the point that we can think about Big Data Intelligence. AI has become ubiquitous in many industries where intelligent programs relying on big data transform decision-making.

Название: Rhythmic Advantages in Big Data and Machine Learning
Автор: Anirban Bandyopadhyay, Kanad Ray
Издательство: Springer
Год: 2022
Страниц: 270
Язык: английский
Формат: pdf (true)
Размер: 10.15 MB

The current book in the series of Systems in Rhythm Engineering, SRE, compiles rhythms from Big data in pure computation, astrophysics to basic biological structures. In today’s world, anything and everything is data and we generate voluminous data almost every passing second which actually gave birth to “Big Data”. The phrase “Big Data” which buzzes around us everywhere, is applied to a specific type of data that has certain traits. However, this phrase has been over used and often incorrectly, which is why itis difficult to gauge its true meaning. For commoners, it is very difficult to understand if Big Data is a tool or a technology or just a buzzword used by data scientists to scare us. Another concern is if Big Data really has the potential to usher in dramatic changes or will the hype fade away with time. In any case, over the past few years, Big Data has become an integral part of several industries and in many cases has shown the potential to be a game-changer.

Название: HPC, Big Data, and AI Convergence Towards Exascale: Challenge and Vision
Автор: Olivier Terzo, Jan Martinovic
Издательство: CRC Press
Год: 2022
Страниц: 323
Язык: английский
Формат: pdf (true)
Размер: 31.2 MB

HPC, Big Data, AI Convergence Towards Exascale provides an updated vision on the most advanced computing, storage, and interconnection technologies, that are at basis of convergence among the High-Performance Computing (HPC), Cloud, Big Data, and Artificial Intelligence (AI) domains. All the chapters in this book pave the road to new generation of technologies, support their development and, in addition, verify them on real-world problems. The readers will find this book useful because it provides an overview of currently available technologies that fit with the concept of unified Cloud-HPC-Big Data-AI applications and presents examples of their actual use in scientific and industrial applications.

Название: Big Data Hadoop Interview Guide: Get answers to the most frequently asked questions in a Hadoop interview
Автор: Vishwanathan Narayanan
Издательство: BPB Publications
Год: 2021
Страниц: 154
Язык: английский
Формат: pdf, epub
Размер: 10.2 MB

A power-packed guide with solutions to crack a Big data Hadoop Interview. This book prepares you for Big data interviews w.r.t. Hadoop system and its ecosystems such as HBase, Pig, Hive, Flume, Sqoop, and Spark. Over the last few years, there is a rise in demand for Big Data Scientists/Analysts throughout the globe. Data Analysis and Interpretation have become very important lately. This book is for anyone interested in big data. It is also useful for all jobseekers and freshers who wants to drive their career in the field of Big Data and Data Processing.

Название: Discriminating data: Correlation, Neighborhoods, and the New Politics of Recognition
Автор: Wendy Hui Kyong Chun, Alex Barnett
Издательство: The MIT Press
Год: 2021
Страниц: 344
Язык: английский
Формат: epub
Размер: 10.1 MB

How Big Data and Machine Learning encode discrimination and create agitated clusters of comforting rage. In Discriminating Data, Wendy Hui Kyong Chun reveals how polarization is a goal—not an error—within Big Data and Machine Learning. These methods, she argues, encode segregation, eugenics, and identity politics through their default assumptions and conditions. Correlation, which grounds Big Data’s predictive potential, stems from twentieth-century eugenic attempts to “breed” a better future.

Название: Periodic Pattern Mining: Theory, Algorithms, and Applications
Автор: R. Uday Kiran, Philippe Fournier-Viger
Издательство: Springer
Год: 2021
Страниц: 263
Язык: английский
Формат: pdf (true), epub
Размер: 38.7 MB

This book provides an introduction to the field of periodic pattern mining, reviews state-of-the-art techniques, discusses recent advances, and reviews open-source software. Periodic pattern mining is a popular and emerging research area in the field of data mining. It involves discovering all regularly occurring patterns in temporal databases. One of the major applications of periodic pattern mining is the analysis of customer transaction databases to discover sets of items that have been regularly purchased by customers. Discovering such patterns has several implications for understanding the behavior of customers. Since the first work on periodic pattern mining, numerous studies have been published and great advances have been made in this field. The book consists of three main parts: introduction, algorithms, and applications.

Название: The Digital Journey of Banking and Insurance, Volume III: Data Storage, Data Processing and Data Analysis
Автор: Volker Liermann, Claus Stegmann
Издательство: Palgrave Macmillan
Год: 2021
Страниц: 278
Язык: английский
Формат: pdf (true), epub
Размер: 27.8 MB

This book, the third one of three volumes, focuses on data and the actions around data, like storage and processing. The angle shifts over the volumes from a business-driven approach in “Disruption and DNA” to a strong technical focus in “Data Storage, Processing and Analysis”, leaving “Digitalization and Machine Learning Applications” with the business and technical aspects in-between. In the last volume of the series, “Data Storage, Processing and Analysis”, the shifts in the way we deal with data are addressed.

Название: Practical business statistics
Автор: Maria Catherine Borres
Издательство: Society Publishing
Год: 2020
Страниц: 220
Язык: английский
Формат: pdf (true)
Размер: 10.1 MB

Practical business statistics explains the subject of statistics and the role it plays in the businesses and also talks about the process of data mining and Big Data in this field. The book discusses the various aspects related to data structure and explains the distribution of data on a histogram to the readers. The book further throws light on the concept of variability and data and the use of probability in the businesses. Also discussed in the book is the concept on uncertainty of numbers in the businesses, giving an overview of the random variables, the concept of confidence interval, the explanation of hypothesis testing and regression analysis and the role of report writing in the proper communication of the results so that the readers get a full insight on the various aspects of statistics in businesses.