Top 10 Challenges Of Big Data Analytics

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Top 10 Challenges of Big Data Analytics

Maria José Sousa,Manuel Au-Yong Oliveira
Top 10 Challenges of Big Data Analytics Book PDF

Author : Maria José Sousa,Manuel Au-Yong Oliveira
Publisher : Nova Science Publishers
Page : 214 pages
File Size : 41,8 Mb
Release : 2021
Category : Computers
ISBN : 1536191892

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Top 10 Challenges of Big Data Analytics by Maria José Sousa,Manuel Au-Yong Oliveira Pdf

"The application of big data analytics in all fields of research is a critical driver for the competitiveness of all countries in the modern world. Currently, governments and industry generate large amounts of data driven by record keeping, compliance, regulations, data privacy, and dynamic requirements, and thus there is a need to create better mechanisms to analyse data, and hence support organizational development, as well as providing aid to policymakers' decision-making processes. In this context, there are emerging disruptive opportunities because of Big Data: new business models, and vertical industry segments will emerge through shared relationships with all the stakeholders, and big data analytics is a major asset to support these dynamic relationships. This book was developed with the objective of analysing some of those challenges while at the same time providing a perspective of the potential of big data analytics, and the importance that analytics have for managers and for policymakers, to help define new strategies and new public policies, respectively. The book is focused on different sectors of activity (i.e. the Health sector, Public Administration, the Education sector, among others), and on different economic dimensions (i.e. Entrepreneurship, and Innovation) and links big data analytics to different fields of research, such as artificial intelligence and other emergent technologies; which are challenging organisations, governments, and societies, with the need to face the new imperative of being prepared for the very uncertain and tremendously complex future - in which big data analytics will play a very decisive and active role"--

Big Data Analytics - Simple Steps to Win, Insights and Opportunities for Maxing Out Success

Gerard Blokdijk
Big Data Analytics Simple Steps to Win Insights and Opportunities for Maxing Out Success Book PDF

Author : Gerard Blokdijk
Publisher : Complete Publishing
Page : 100 pages
File Size : 41,7 Mb
Release : 2015-09-27
Category : Reference
ISBN : 1488896984

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Big Data Analytics - Simple Steps to Win, Insights and Opportunities for Maxing Out Success by Gerard Blokdijk Pdf

The one-stop-source powering Big Data analytics success, jam-packed with ready to use insights for results, loaded with all the data you need to decide how to gain and move ahead. Based on extensive research, this lays out the thinking of the most successful Big Data analytics knowledge experts, those who are adept at continually innovating and seeing opportunities. This is the first place to go for Big Data analytics innovation - INCLUDED are numerous real-world Big Data analytics blueprints, presentations and templates ready for you to access and use. Also, if you are looking for answers to one or more of these questions then THIS is the title for you: What are good tools for big data analytics? What is big data? Big Data: What are some interesting big data and analytics startups? What are the biggest challenges with doing Big Data analytics? Big Data: How are online retailers using big data analytics? Who are the top 10 companies in big data analytics? Where can I find market size data for Big Data analytics? What are the best resources on Big Data Analytics? What are the best technologies for big data analytics on streaming data? What is the current state of big data analytics in Singapore? What is the difference between Data Analytics, Data Analysis, Data Mining, Data Science, Machine Learning, and Big Data? Is big data analytics useful for mechanical engineers? Does big data analytics have a good scope in the future? NoSQL: How significant is columnar storage for Big data analytics? And Why? What are the best big data analytics/engineering bootcamps in SF? How Big Data analytics can impact business results? What are some of the big data analytics companies?"

Big Data and Business Analytics

Jay Liebowitz
Big Data and Business Analytics Book PDF

Author : Jay Liebowitz
Publisher : CRC Press
Page : 304 pages
File Size : 53,7 Mb
Release : 2016-04-19
Category : Business & Economics
ISBN : 9781466565791

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Big Data and Business Analytics by Jay Liebowitz Pdf

"The chapters in this volume offer useful case studies, technical roadmaps, lessons learned, and a few prescriptions todo this, avoid that.'"-From the Foreword by Joe LaCugna, Ph.D., Enterprise Analytics and Business Intelligence, Starbucks Coffee CompanyWith the growing barrage of "big data," it becomes vitally important for organizations to mak

Handbook on Intelligent Healthcare Analytics

A. Jaya,K. Kalaiselvi,Dinesh Goyal,Dhiya Al-Jumeily
Handbook on Intelligent Healthcare Analytics Book PDF

Author : A. Jaya,K. Kalaiselvi,Dinesh Goyal,Dhiya Al-Jumeily
Publisher : John Wiley & Sons
Page : 448 pages
File Size : 45,9 Mb
Release : 2022-05-09
Category : Technology & Engineering
ISBN : 9781119792536

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Handbook on Intelligent Healthcare Analytics by A. Jaya,K. Kalaiselvi,Dinesh Goyal,Dhiya Al-Jumeily Pdf

HANDBOOK OF INTELLIGENT HEALTHCARE ANALYTICS The book explores the various recent tools and techniques used for deriving knowledge from healthcare data analytics for researchers and practitioners. The power of healthcare data analytics is being increasingly used in the industry. Advanced analytics techniques are used against large data sets to uncover hidden patterns, unknown correlations, market trends, customer preferences, and other useful information. A Handbook on Intelligent Healthcare Analytics covers both the theory and application of the tools, techniques, and algorithms for use in big data in healthcare and clinical research. It provides the most recent research findings to derive knowledge using big data analytics, which helps to analyze huge amounts of real-time healthcare data, the analysis of which can provide further insights in terms of procedural, technical, medical, and other types of improvements in healthcare. In addition, the reader will find in this Handbook: Innovative hybrid machine learning and deep learning techniques applied in various healthcare data sets, as well as various kinds of machine learning algorithms existing such as supervised, unsupervised, semi-supervised, reinforcement learning, and guides how readers can implement the Python environment for machine learning; An exploration of predictive analytics in healthcare; The various challenges for smart healthcare, including privacy, confidentiality, authenticity, loss of information, attacks, etc., that create a new burden for providers to maintain compliance with healthcare data security. In addition, this book also explores various sources of personalized healthcare data and the commercial platforms for healthcare data analytics. Audience Healthcare professionals, researchers, and practitioners who wish to figure out the core concepts of smart healthcare applications and the innovative methods and technologies used in healthcare will all benefit from this book.

Big Data Analytics in Healthcare

Anand J. Kulkarni,Patrick Siarry,Pramod Kumar Singh,Ajith Abraham,Mengjie Zhang,Albert Zomaya,Fazle Baki
Big Data Analytics in Healthcare Book PDF

Author : Anand J. Kulkarni,Patrick Siarry,Pramod Kumar Singh,Ajith Abraham,Mengjie Zhang,Albert Zomaya,Fazle Baki
Publisher : Springer Nature
Page : 187 pages
File Size : 48,5 Mb
Release : 2019-10-01
Category : Technology & Engineering
ISBN : 9783030316723

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Big Data Analytics in Healthcare by Anand J. Kulkarni,Patrick Siarry,Pramod Kumar Singh,Ajith Abraham,Mengjie Zhang,Albert Zomaya,Fazle Baki Pdf

This book includes state-of-the-art discussions on various issues and aspects of the implementation, testing, validation, and application of big data in the context of healthcare. The concept of big data is revolutionary, both from a technological and societal well-being standpoint. This book provides a comprehensive reference guide for engineers, scientists, and students studying/involved in the development of big data tools in the areas of healthcare and medicine. It also features a multifaceted and state-of-the-art literature review on healthcare data, its modalities, complexities, and methodologies, along with mathematical formulations. The book is divided into two main sections, the first of which discusses the challenges and opportunities associated with the implementation of big data in the healthcare sector. In turn, the second addresses the mathematical modeling of healthcare problems, as well as current and potential future big data applications and platforms.

Handbook of Research on Pattern Engineering System Development for Big Data Analytics

Tiwari, Vivek,Thakur, Ramjeevan Singh,Tiwari, Basant,Gupta, Shailendra
Handbook of Research on Pattern Engineering System Development for Big Data Analytics Book PDF

Author : Tiwari, Vivek,Thakur, Ramjeevan Singh,Tiwari, Basant,Gupta, Shailendra
Publisher : IGI Global
Page : 396 pages
File Size : 43,5 Mb
Release : 2018-04-20
Category : Computers
ISBN : 9781522538714

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Handbook of Research on Pattern Engineering System Development for Big Data Analytics by Tiwari, Vivek,Thakur, Ramjeevan Singh,Tiwari, Basant,Gupta, Shailendra Pdf

Due to the growing use of web applications and communication devices, the use of data has increased throughout various industries. It is necessary to develop new techniques for managing data in order to ensure adequate usage. The Handbook of Research on Pattern Engineering System Development for Big Data Analytics is a critical scholarly resource that examines the incorporation of pattern management in business technologies as well as decision making and prediction process through the use of data management and analysis. Featuring coverage on a broad range of topics such as business intelligence, feature extraction, and data collection, this publication is geared towards professionals, academicians, practitioners, and researchers seeking current research on the development of pattern management systems for business applications.

Handbook of Research on Cloud Infrastructures for Big Data Analytics

Raj, Pethuru
Handbook of Research on Cloud Infrastructures for Big Data Analytics Book PDF

Author : Raj, Pethuru
Publisher : IGI Global
Page : 570 pages
File Size : 52,8 Mb
Release : 2014-03-31
Category : Computers
ISBN : 9781466658653

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Handbook of Research on Cloud Infrastructures for Big Data Analytics by Raj, Pethuru Pdf

Clouds are being positioned as the next-generation consolidated, centralized, yet federated IT infrastructure for hosting all kinds of IT platforms and for deploying, maintaining, and managing a wider variety of personal, as well as professional applications and services. Handbook of Research on Cloud Infrastructures for Big Data Analytics focuses exclusively on the topic of cloud-sponsored big data analytics for creating flexible and futuristic organizations. This book helps researchers and practitioners, as well as business entrepreneurs, to make informed decisions and consider appropriate action to simplify and streamline the arduous journey towards smarter enterprises.

Innovations and Social Media Analytics in a Digital Society

Maria José Sousa,Célio Gonçalo Marques
Innovations and Social Media Analytics in a Digital Society Book PDF

Author : Maria José Sousa,Célio Gonçalo Marques
Publisher : CRC Press
Page : 372 pages
File Size : 55,9 Mb
Release : 2022-06-15
Category : Business & Economics
ISBN : 9781000615630

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Innovations and Social Media Analytics in a Digital Society by Maria José Sousa,Célio Gonçalo Marques Pdf

Recent advances in digitization are transforming healthcare, education, tourism, information technology, and some other sectors. Social media analytics are tools that can be used to measure innovation and the relation of the companies with the citizens. This book comprises state-ofthe-art social media analytics, and advanced innovation policies in the digitization of society. The number of applications that can be used to create and analyze social media analytics generates large amounts of data called big data, including measures of the use of the technologies to develop or to use new services to improve the quality of life of the citizens. Digitization has applications in fields from remote monitoring to smart sensors and other devices. Integration generates data that need to be analyzed and visualized in an easy and clear way, that will be some of the proposals of the researchers present in this book. This volume offers valuable insights to researchers on how to design innovative digital analytics systems and how to improve information delivery remotely.

Internet of Things and Big Data Analytics for Smart Generation

Valentina E. Balas,Vijender Kumar Solanki,Raghvendra Kumar,Manju Khari
Internet of Things and Big Data Analytics for Smart Generation Book PDF

Author : Valentina E. Balas,Vijender Kumar Solanki,Raghvendra Kumar,Manju Khari
Publisher : Springer
Page : 300 pages
File Size : 43,9 Mb
Release : 2018-12-30
Category : Technology & Engineering
ISBN : 9783030042035

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Internet of Things and Big Data Analytics for Smart Generation by Valentina E. Balas,Vijender Kumar Solanki,Raghvendra Kumar,Manju Khari Pdf

This book discusses emerging technologies in the field of the Internet of Things and big data, an area that will be scaled in next two decades. Written by a team of leading experts, it is the only book focusing on the broad areas of both the Internet of things and big data. The thirteen chapters present real-time experimental methods and theoretical explanations, as well as the implementation of these technologies through various applications. Offering a blend of theory and hands-on practices, the book enables graduate, postgraduate and research students who are involved in real-time project scaling techniques to understand projects and their execution. It is also useful for senior computer students, researchers and industry workers who are involved in experimenting with the Internet of Things and big data technologies, helping them to solve the real-time problem. Moreover, the chapters covering cutting-edge technologies help multidisciplinary researchers who are bridging the gap of two different outset real-time problems.

Fast Facts in Health Informatics for Nurses

Lynda R Hardy, PhD, RN, FAAN
Fast Facts in Health Informatics for Nurses Book PDF

Author : Lynda R Hardy, PhD, RN, FAAN
Publisher : Springer Publishing Company
Page : 202 pages
File Size : 42,5 Mb
Release : 2019-10-18
Category : Medical
ISBN : 9780826142269

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Fast Facts in Health Informatics for Nurses by Lynda R Hardy, PhD, RN, FAAN Pdf

“Provides a broad overview of informatics knowledge to empower nurses to be thoughtful and participate in the capture, storage, and use of data to create information and knowledge to optimize patient outcomes...In this book, you will gain an understanding of how clinical decision support tools work so you can provide feedback about [their] effectiveness and recommend additional ways decision support tools help.” —Bonnie L. Westra, Ph.D., RN, FAAN, FACMI, From the Foreword Understanding and managing technology is a key component in providing quality patient care today. This addition to the popular Fast Facts series provides RNs and nursing students with an accessible, concise, step-by-step introduction to the essentials of informatics and its impact on patient lives. This book delivers required competencies and frameworks for both nursing education and practice, expanding upon integral systems and technologies within our healthcare system and their impact on the responsibilities of the individual nurse. Highlighting the intricacies within a specialized approach to healthcare data, data mining, and data organization, this resource connects day-to-day informatics practices to larger initiatives and perspectives. Clear and concise synopses of healthcare essentials, case studies, and abundant practical examples help readers understand how health informatics improves patient care within the nursing scope of practice. Thought-provoking questions in each chapter facilitate in-depth considerations on chapter content. Key Features: Key information about the electronic health record, telehealth, wearables, and decision-support tools Practical examples demonstrate how informatics improves patient care within the nurse’s scope of practice Case studies with thought-provoking questions Nurses’ influence on data quality Relevant ethical, legal, and social issues The intersection of technology and informatics and the power of data

Big Data in Complex Systems

Aboul Ella Hassanien,Ahmad Taher Azar,Vaclav Snasael,Janusz Kacprzyk,Jemal H. Abawajy
Big Data in Complex Systems Book PDF

Author : Aboul Ella Hassanien,Ahmad Taher Azar,Vaclav Snasael,Janusz Kacprzyk,Jemal H. Abawajy
Publisher : Springer
Page : 502 pages
File Size : 44,8 Mb
Release : 2015-01-02
Category : Technology & Engineering
ISBN : 9783319110561

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Big Data in Complex Systems by Aboul Ella Hassanien,Ahmad Taher Azar,Vaclav Snasael,Janusz Kacprzyk,Jemal H. Abawajy Pdf

This volume provides challenges and Opportunities with updated, in-depth material on the application of Big data to complex systems in order to find solutions for the challenges and problems facing big data sets applications. Much data today is not natively in structured format; for example, tweets and blogs are weakly structured pieces of text, while images and video are structured for storage and display, but not for semantic content and search. Therefore transforming such content into a structured format for later analysis is a major challenge. Data analysis, organization, retrieval, and modeling are other foundational challenges treated in this book. The material of this book will be useful for researchers and practitioners in the field of big data as well as advanced undergraduate and graduate students. Each of the 17 chapters in the book opens with a chapter abstract and key terms list. The chapters are organized along the lines of problem description, related works, and analysis of the results and comparisons are provided whenever feasible.

Data Analytics: Principles, Tools, and Practices

Gaurav Aroraa,Chitra Lele,Dr. Munish Jindal
Data Analytics Principles Tools and Practices Book PDF

Author : Gaurav Aroraa,Chitra Lele,Dr. Munish Jindal
Publisher : BPB Publications
Page : 481 pages
File Size : 53,8 Mb
Release : 2022-01-24
Category : Antiques & Collectibles
ISBN : 9789388511957

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Data Analytics: Principles, Tools, and Practices by Gaurav Aroraa,Chitra Lele,Dr. Munish Jindal Pdf

A Complete Data Analytics Guide for Learners and Professionals. KEY FEATURES ● Learn Big Data, Hadoop Architecture, HBase, Hive and NoSQL Database. ● Dive into Machine Learning, its tools, and applications. ● Coverage of applications of Big Data, Data Analysis, and Business Intelligence. DESCRIPTION These days critical problem solving related to data and data sciences is in demand. Professionals who can solve real data science problems using data science tools are in demand. The book “Data Analytics: Principles, Tools, and Practices” can be considered a handbook or a guide for professionals who want to start their journey in the field of data science. The journey starts with the introduction of DBMS, RDBMS, NoSQL, and DocumentDB. The book introduces the essentials of data science and the modern ecosystem, including the important steps such as data ingestion, data munging, and visualization. The book covers the different types of analysis, different Hadoop ecosystem tools like Apache Spark, Apache Hive, R, MapReduce, and NoSQL Database. It also includes the different machine learning techniques that are useful for data analytics and how to visualize data with different graphs and charts. The book discusses useful tools and approaches for data analytics, supported by concrete code examples. After reading this book, you will be motivated to explore real data analytics and make use of the acquired knowledge on databases, BI/DW, data visualization, Big Data tools, and statistical science. WHAT YOU WILL LEARN ● Familiarize yourself with Apache Spark, Apache Hive, R, MapReduce, and NoSQL Database. ● Learn to manage data warehousing with real time transaction processing. ● Explore various machine learning techniques that apply to data analytics. ● Learn how to visualize data using a variety of graphs and charts using real-world examples from the industry. ● Acquaint yourself with Big Data tools and statistical techniques for machine learning. WHO THIS BOOK IS FOR IT graduates, data engineers and entry-level professionals who have a basic understanding of the tools and techniques but want to learn more about how they fit into a broader context are encouraged to read this book. TABLE OF CONTENTS 1. Database Management System 2. Online Transaction Processing and Data Warehouse 3. Business Intelligence and its deeper dynamics 4. Introduction to Data Visualization 5. Advanced Data Visualization 6. Introduction to Big Data and Hadoop 7. Application of Big Data Real Use Cases 8. Application of Big Data 9. Introduction to Machine Learning 10. Advanced Concepts to Machine Learning 11. Application of Machine Learning

HCI International 2022 Posters

Constantine Stephanidis,Margherita Antona,Stavroula Ntoa
HCI International 2022 Posters Book PDF

Author : Constantine Stephanidis,Margherita Antona,Stavroula Ntoa
Publisher : Springer Nature
Page : 626 pages
File Size : 50,9 Mb
Release : 2022-06-16
Category : Computers
ISBN : 9783031063916

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HCI International 2022 Posters by Constantine Stephanidis,Margherita Antona,Stavroula Ntoa Pdf

Chapter “Swedish Recreational Businesses Coping with COVID-19 Using Technologies” is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.

Applications of Big Data Analytics

Mohammed M. Alani,Hissam Tawfik,Mohammed Saeed,Obinna Anya
Applications of Big Data Analytics Book PDF

Author : Mohammed M. Alani,Hissam Tawfik,Mohammed Saeed,Obinna Anya
Publisher : Springer
Page : 214 pages
File Size : 42,8 Mb
Release : 2018-07-23
Category : Computers
ISBN : 9783319764726

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Applications of Big Data Analytics by Mohammed M. Alani,Hissam Tawfik,Mohammed Saeed,Obinna Anya Pdf

This timely text/reference reviews the state of the art of big data analytics, with a particular focus on practical applications. An authoritative selection of leading international researchers present detailed analyses of existing trends for storing and analyzing big data, together with valuable insights into the challenges inherent in current approaches and systems. This is further supported by real-world examples drawn from a broad range of application areas, including healthcare, education, and disaster management. The text also covers, typically from an application-oriented perspective, advances in data science in such areas as big data collection, searching, analysis, and knowledge discovery. Topics and features: Discusses a model for data traffic aggregation in 5G cellular networks, and a novel scheme for resource allocation in 5G networks with network slicing Explores methods that use big data in the assessment of flood risks, and apply neural networks techniques to monitor the safety of nuclear power plants Describes a system which leverages big data analytics and the Internet of Things in the application of drones to aid victims in disaster scenarios Proposes a novel deep learning-based health data analytics application for sleep apnea detection, and a novel pathway for diagnostic models of headache disorders Reviews techniques for educational data mining and learning analytics, and introduces a scalable MapReduce graph partitioning approach for high degree vertices Presents a multivariate and dynamic data representation model for the visualization of healthcare data, and big data analytics methods for software reliability assessment This practically-focused volume is an invaluable resource for all researchers, academics, data scientists and business professionals involved in the planning, designing, and implementation of big data analytics projects. Dr. Mohammed M. Alani is an Associate Professor in Computer Engineering and currently is the Provost at Al Khawarizmi International College, Abu Dhabi, UAE. Dr. Hissam Tawfik is a Professor of Computer Science in the School of Computing, Creative Technologies & Engineering at Leeds Beckett University, UK. Dr. Mohammed Saeed is a Professor in Computing and currently is the Vice President for Academic Affairs and Research at the University of Modern Sciences, Dubai, UAE. Dr. Obinna Anya is a Research Staff Member at IBM Research – Almaden, San Jose, CA, USA.

Big Data Optimization: Recent Developments and Challenges

Ali Emrouznejad
Big Data Optimization Recent Developments and Challenges Book PDF

Author : Ali Emrouznejad
Publisher : Springer
Page : 487 pages
File Size : 51,8 Mb
Release : 2016-05-26
Category : Technology & Engineering
ISBN : 9783319302652

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Big Data Optimization: Recent Developments and Challenges by Ali Emrouznejad Pdf

The main objective of this book is to provide the necessary background to work with big data by introducing some novel optimization algorithms and codes capable of working in the big data setting as well as introducing some applications in big data optimization for both academics and practitioners interested, and to benefit society, industry, academia, and government. Presenting applications in a variety of industries, this book will be useful for the researchers aiming to analyses large scale data. Several optimization algorithms for big data including convergent parallel algorithms, limited memory bundle algorithm, diagonal bundle method, convergent parallel algorithms, network analytics, and many more have been explored in this book.