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Research Anthology On Big Data Analytics Architectures And Applications Vol 4 Book in PDF, ePub and Kindle version is available to download in english. Read online anytime anywhere directly from your device. Click on the download button below to get a free pdf file of Research Anthology On Big Data Analytics Architectures And Applications Vol 4 book. This book definitely worth reading, it is an incredibly well-written.
Author : Information R Management Association
Publisher : Engineering Science Reference
Page : 560 pages
File Size : 51,8 Mb
Release : 2021-11
Category : Electronic
ISBN : 1668440105
Author : Management Association, Information Resources
Publisher : IGI Global
Page : 1988 pages
File Size : 52,7 Mb
Release : 2021-09-24
Category : Computers
ISBN : 9781668436639
Society is now completely driven by data with many industries relying on data to conduct business or basic functions within the organization. With the efficiencies that big data bring to all institutions, data is continuously being collected and analyzed. However, data sets may be too complex for traditional data-processing, and therefore, different strategies must evolve to solve the issue. The field of big data works as a valuable tool for many different industries. The Research Anthology on Big Data Analytics, Architectures, and Applications is a complete reference source on big data analytics that offers the latest, innovative architectures and frameworks and explores a variety of applications within various industries. Offering an international perspective, the applications discussed within this anthology feature global representation. Covering topics such as advertising curricula, driven supply chain, and smart cities, this research anthology is ideal for data scientists, data analysts, computer engineers, software engineers, technologists, government officials, managers, CEOs, professors, graduate students, researchers, and academicians.
Author : Information R Management Association
Publisher : Engineering Science Reference
Page : 544 pages
File Size : 48,7 Mb
Release : 2021-11
Category : Electronic
ISBN : 1668440083
Author : Information R Management Association
Publisher : Engineering Science Reference
Page : 532 pages
File Size : 51,7 Mb
Release : 2021-11
Category : Electronic
ISBN : 1668440091
Author : Information R Management Association
Publisher : Engineering Science Reference
Page : 544 pages
File Size : 47,8 Mb
Release : 2021-11
Category : Electronic
ISBN : 1668440075
Author : Muji Setiyo,Zulfikar Bagus Pambuko,Chrisna Bagus Edhita Praja,Agus Setiawan,Fitriana Yuliastuti,Lintang Muliawanti,Veni Soraya Dewi
Publisher : Springer Nature
Page : 904 pages
File Size : 52,9 Mb
Release : 2023-11-08
Category : Science
ISBN : 9789464632842
This is an open access book.Related to the big theme of the SDGs reinforcement at our previous conference, we try to invite all academics and researchers around the world to participate in the 4th Borobudur International Symposium 2022 (4thBIS 2022). As we know, the COVID-19 pandemic and its impact on all the 17 SDGs have demonstrated how what began as a health catastrophe swiftly transformed into a human, socioeconomic and environmental crisis. The 4th BIS brought up “The Innovation Chain: A Contribution to Society and Industry” as the main theme to respond this condition. This conference is expected to support the UN Agenda. Additionally, this conference will also provide avenues for participants to exchange ideas and network with each other as well as domain experts from their fields. Overall, this event is aimed at professionals across all spheres of technology and engineering including the experienced, inexperienced, and students as well. The conference will be held virtually on Wednesday, December 21st, 2022 in Magelang, Central Java, Indonesia.
Author : Borko Furht,Flavio Villanustre
Publisher : Springer
Page : 400 pages
File Size : 41,8 Mb
Release : 2016-09-16
Category : Computers
ISBN : 9783319445502
The objective of this book is to introduce the basic concepts of big data computing and then to describe the total solution of big data problems using HPCC, an open-source computing platform. The book comprises 15 chapters broken into three parts. The first part, Big Data Technologies, includes introductions to big data concepts and techniques; big data analytics; and visualization and learning techniques. The second part, LexisNexis Risk Solution to Big Data, focuses on specific technologies and techniques developed at LexisNexis to solve critical problems that use big data analytics. It covers the open source High Performance Computing Cluster (HPCC Systems®) platform and its architecture, as well as parallel data languages ECL and KEL, developed to effectively solve big data problems. The third part, Big Data Applications, describes various data intensive applications solved on HPCC Systems. It includes applications such as cyber security, social network analytics including fraud, Ebola spread modeling using big data analytics, unsupervised learning, and image classification. The book is intended for a wide variety of people including researchers, scientists, programmers, engineers, designers, developers, educators, and students. This book can also be beneficial for business managers, entrepreneurs, and investors.
Author : Arun K. Somani,Ganesh Chandra Deka
Publisher : CRC Press
Page : 399 pages
File Size : 43,9 Mb
Release : 2017-10-30
Category : Computers
ISBN : 9781351180320
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.
Author : Management Association, Information Resources
Publisher : IGI Global
Page : 2478 pages
File Size : 50,7 Mb
Release : 2016-04-20
Category : Computers
ISBN : 9781466698413
The digital age has presented an exponential growth in the amount of data available to individuals looking to draw conclusions based on given or collected information across industries. Challenges associated with the analysis, security, sharing, storage, and visualization of large and complex data sets continue to plague data scientists and analysts alike as traditional data processing applications struggle to adequately manage big data. Big Data: Concepts, Methodologies, Tools, and Applications is a multi-volume compendium of research-based perspectives and solutions within the realm of large-scale and complex data sets. Taking a multidisciplinary approach, this publication presents exhaustive coverage of crucial topics in the field of big data including diverse applications, storage solutions, analysis techniques, and methods for searching and transferring large data sets, in addition to security issues. Emphasizing essential research in the field of data science, this publication is an ideal reference source for data analysts, IT professionals, researchers, and academics.
Author : Management Association, Information Resources
Publisher : IGI Global
Page : 2700 pages
File Size : 55,9 Mb
Release : 2021-01-25
Category : Computers
ISBN : 9781799853404
Distributed systems intertwine with our everyday lives. The benefits and current shortcomings of the underpinning technologies are experienced by a wide range of people and their smart devices. With the rise of large-scale IoT and similar distributed systems, cloud bursting technologies, and partial outsourcing solutions, private entities are encouraged to increase their efficiency and offer unparalleled availability and reliability to their users. The Research Anthology on Architectures, Frameworks, and Integration Strategies for Distributed and Cloud Computing is a vital reference source that provides valuable insight into current and emergent research occurring within the field of distributed computing. It also presents architectures and service frameworks to achieve highly integrated distributed systems and solutions to integration and efficient management challenges faced by current and future distributed systems. Highlighting a range of topics such as data sharing, wireless sensor networks, and scalability, this multi-volume book is ideally designed for system administrators, integrators, designers, developers, researchers, academicians, and students.
Author : Balamurugan Balusamy,Nandhini Abirami R,Seifedine Kadry,Amir H. Gandomi
Publisher : John Wiley & Sons
Page : 370 pages
File Size : 50,9 Mb
Release : 2021-04-13
Category : Mathematics
ISBN : 9781119701828
Learn Big Data from the ground up with this complete and up-to-date resource from leaders in the field Big Data: Concepts, Technology, and Architecture delivers a comprehensive treatment of Big Data tools, terminology, and technology perfectly suited to a wide range of business professionals, academic researchers, and students. Beginning with a fulsome overview of what we mean when we say, “Big Data,” the book moves on to discuss every stage of the lifecycle of Big Data. You’ll learn about the creation of structured, unstructured, and semi-structured data, data storage solutions, traditional database solutions like SQL, data processing, data analytics, machine learning, and data mining. You’ll also discover how specific technologies like Apache Hadoop, SQOOP, and Flume work. Big Data also covers the central topic of big data visualization with Tableau, and you’ll learn how to create scatter plots, histograms, bar, line, and pie charts with that software. Accessibly organized, Big Data includes illuminating case studies throughout the material, showing you how the included concepts have been applied in real-world settings. Some of those concepts include: The common challenges facing big data technology and technologists, like data heterogeneity and incompleteness, data volume and velocity, storage limitations, and privacy concerns Relational and non-relational databases, like RDBMS, NoSQL, and NewSQL databases Virtualizing Big Data through encapsulation, partitioning, and isolating, as well as big data server virtualization Apache software, including Hadoop, Cassandra, Avro, Pig, Mahout, Oozie, and Hive The Big Data analytics lifecycle, including business case evaluation, data preparation, extraction, transformation, analysis, and visualization Perfect for data scientists, data engineers, and database managers, Big Data also belongs on the bookshelves of business intelligence analysts who are required to make decisions based on large volumes of information. Executives and managers who lead teams responsible for keeping or understanding large datasets will also benefit from this book.
Author : Ahmad Rafiki,Léo-Paul Dana,Muhammad Dharma Tuah Putra Nasution
Publisher : Springer Nature
Page : 292 pages
File Size : 47,7 Mb
Release : 2023-10-27
Category : Science
ISBN : 9789819951420
The book emphasizes the open innovation which mainly consists of innovation inside-out and outside-in needed by the small and medium-sized enterprises (SME). This open innovation relates to the performance and survival of SMEs in a global competition. The SMEs must learn, have, and do innovative initiatives and actions. This book elaborates all related concepts and innovative practices toward better performances, which includes the impacts of globalization and dynamic markets with a special focus on sustainability. Every country has different perspectives considering open innovation as a solution to the businesses. Thus, readers can see the best practices to be adopted or adapted in their business environment. The book includes the solution for the SMEs in terms of creating values. Open innovation is known as a window for creating values. Open innovation can be seen by SMEs as a possible way to adapt and thrive in an increasingly competitive and volatile environment, including to overcome their limitations. By implementing open innovation, SMEs will compensate for their lack of internal resources and competencies through external resources to develop new technologies and take advantage of market opportunities. This book is dedicated to the entrepreneurs, businessmen, practitioners, policymakers, academician, and students in developing strategies and having future plan related to innovation which is crucial for creating values in business operations. A benchmarking through innovation is important to improve among businesses to achieve effectiveness and efficiency.
Author : Wang, John
Publisher : IGI Global
Page : 3296 pages
File Size : 43,9 Mb
Release : 2023-01-20
Category : Computers
ISBN : 9781799892212
Big data and machine learning are driving the Fourth Industrial Revolution. With the age of big data upon us, we risk drowning in a flood of digital data. Big data has now become a critical part of both the business world and daily life, as the synthesis and synergy of machine learning and big data has enormous potential. Big data and machine learning are projected to not only maximize citizen wealth, but also promote societal health. As big data continues to evolve and the demand for professionals in the field increases, access to the most current information about the concepts, issues, trends, and technologies in this interdisciplinary area is needed. The Encyclopedia of Data Science and Machine Learning examines current, state-of-the-art research in the areas of data science, machine learning, data mining, and more. It provides an international forum for experts within these fields to advance the knowledge and practice in all facets of big data and machine learning, emphasizing emerging theories, principals, models, processes, and applications to inspire and circulate innovative findings into research, business, and communities. Covering topics such as benefit management, recommendation system analysis, and global software development, this expansive reference provides a dynamic resource for data scientists, data analysts, computer scientists, technical managers, corporate executives, students and educators of higher education, government officials, researchers, and academicians.
Author : Marcello Trovati,Richard Hill,Ashiq Anjum,Shao Ying Zhu,Lu Liu
Publisher : Springer
Page : 169 pages
File Size : 48,6 Mb
Release : 2016-01-12
Category : Computers
ISBN : 9783319253138
This book reviews the theoretical concepts, leading-edge techniques and practical tools involved in the latest multi-disciplinary approaches addressing the challenges of big data. Illuminating perspectives from both academia and industry are presented by an international selection of experts in big data science. Topics and features: describes the innovative advances in theoretical aspects of big data, predictive analytics and cloud-based architectures; examines the applications and implementations that utilize big data in cloud architectures; surveys the state of the art in architectural approaches to the provision of cloud-based big data analytics functions; identifies potential research directions and technologies to facilitate the realization of emerging business models through big data approaches; provides relevant theoretical frameworks, empirical research findings, and numerous case studies; discusses real-world applications of algorithms and techniques to address the challenges of big datasets.
Author : Azedine Boulmakoul,Lamia Karim,Bharat Bhushan
Publisher : CRC Press
Page : 402 pages
File Size : 53,8 Mb
Release : 2022-12-30
Category : Computers
ISBN : 9781000817461
This book highlights the developments, discoveries, and practical and advanced experiences related to responsive distributed computing and how it can support the deployment of trajectory-based applications in smart systems. Smart Trajectories: Metamodeling, Reactive Architecture for Analytics and Smart Applications deals with the representation and manipulation of smart trajectories in various applications and scenarios. Presented in three parts, the book first discusses the foundation and principles for spatial information systems, complex event processing, and building a reactive architecture. Next, the book discusses modeling and architecture in relation to smart trajectory metamodeling, mining and big trajectory data, and clustering trajectories. The final section discusses advanced applications and trends in the field, including congestion trajectory analytics and real-time Big Data analytics in cloud ecosystems. Metamodeling, distributed architectures, reactive programming, Big Data analytics, NoSQL databases, connected objects, and edge-fog-cloud computing form the basis of the concepts and applications discussed. The book also presents a number of case studies to demonstrate smart trajectories related to spatiotemporal events such as traffic congestion and pedestrian accidents. This book is intended for graduate students in computer engineering, spatial databases, complex event processing, distributed systems, and geographical information systems (GIS). The book will also be useful for practicing traffic engineers, city managers, and environmental engineers interested in monitoring and security analysis.
