Book Description
A exploration of the latest trend in technology and the impact it will have on the economy, science, and society at large.
Author : Viktor Mayer-Schönberger
Publisher : Houghton Mifflin Harcourt
Page : 257 pages
File Size : 13,16 MB
Release : 2013
Category : Business & Economics
ISBN : 0544002695
A exploration of the latest trend in technology and the impact it will have on the economy, science, and society at large.
Author : BusinessNews Publishing,
Publisher : Primento
Page : 30 pages
File Size : 46,30 MB
Release : 2014-11-12
Category : Business & Economics
ISBN : 2511025078
The must-read summary of Viktor Mayer-Schonberg and Kenneth Cukier's book: "Big Data: A Revolution that Will Transform How We Live, Work and Think". This complete summary of the ideas from Viktor Mayer-Schonberg and Kenneth Cukier's book "Big Data" explains that the concept of "big data" means using huge quantities of data to make better predictions based on patterns, rather than trying to understand the underlying causes in more detail. In their book, the authors highlight the many ways in which big data will be a source of new economic value and innovation in the future. This summary also demonstrates that this change in the way information is analysed will transform the way everyone lives and interacts in the world. Added-value of this summary: • Save time • Understand key concepts • Expand your knowledge To learn more, read "Big Data" and discover how the way we use data is evolving and what this means for the future.
Author : S. Srinivasan
Publisher : Springer
Page : 567 pages
File Size : 36,13 MB
Release : 2017-05-25
Category : Technology & Engineering
ISBN : 3319538179
This handbook brings together a variety of approaches to the uses of big data in multiple fields, primarily science, medicine, and business. This single resource features contributions from researchers around the world from a variety of fields, where they share their findings and experience. This book is intended to help spur further innovation in big data. The research is presented in a way that allows readers, regardless of their field of study, to learn from how applications have proven successful and how similar applications could be used in their own field. Contributions stem from researchers in fields such as physics, biology, energy, healthcare, and business. The contributors also discuss important topics such as fraud detection, privacy implications, legal perspectives, and ethical handling of big data.
Author : Zehui Zhan
Publisher : Springer Nature
Page : 1364 pages
File Size : 24,72 MB
Release : 2023-01-20
Category : Mathematics
ISBN : 9464630345
This is an open access book. The 2022 3rd International Conference on Big Data and Informatization Education (ICBDIE2022) was held on April 8-10, 2022 in Beijing, China. ICBDIE2022 is to bring together innovative academics and industrial experts in the field of Big Data and Informatization Education to a common forum. The primary goal of the conference is to promote research and developmental activities in Big Data and Informatization Education and another goal is to promote scientific information interchange between researchers, developers, engineers, students, and practitioners working all around the world. The conference will be held every year to make it an ideal platform for people to share views and experiences in international conference on Big Data and Informatization Education and related areas.
Author : Brij B Gupta
Publisher : World Scientific
Page : 288 pages
File Size : 10,51 MB
Release : 2023-12-05
Category : Computers
ISBN : 9811257132
With the proliferation of information, big data management and analysis have become an indispensable part of any system to handle such amounts of data. The amount of data generated by the multitude of interconnected devices increases exponentially, making the storage and processing of these data a real challenge.Big data management and analytics have gained momentum in almost every industry, ranging from finance or healthcare. Big data can reveal key insights if handled and analyzed properly; it has great application potential to improve the working of any industry. This book covers the spectrum aspects of big data; from the preliminary level to specific case studies. It will help readers gain knowledge of the big data landscape.Highlights of the topics covered include description of the Big Data ecosystem; real-world instances of big data issues; how the Vs of Big Data (volume, velocity, variety, veracity, valence, and value) affect data collection, monitoring, storage, analysis, and reporting; structural process to get value out of Big Data and recognize the differences between a standard database management system and a big data management system.Readers will gain insights into choice of data models, data extraction, data integration to solve large data problems, data modelling using machine learning techniques, Spark's scalable machine learning techniques, modeling a big data problem into a graph database and performing scalable analytical operations over the graph and different tools and techniques for processing big data and its applications including in healthcare and finance.
Author : Chew Fong Peng
Publisher : Springer Nature
Page : 1241 pages
File Size : 13,94 MB
Release : 2023-07-04
Category : Education
ISBN : 9464631929
This is an open access book. As a leading role in the global megatrend of scientific innovation, China has been creating a more and more open environment for scientific innovation, increasing the depth and breadth of academic cooperation, and building a community of innovation that benefits all. Such endeavors are making new contributions to the globalization and creating a community of shared future. To adapt to this changing world and China's fast development in the new era, 2023 2nd International Conference on Educational Innovation and Multimedia Technology to be held in March 2023. This conference takes "bringing together global wisdom in scientific innovation to promote high-quality development" as the theme and focuses on cutting-edge research fields including Educational Innovation and Multimedia Technology. EIMT 2023 encourages the exchange of information at the forefront of research in different fields, connects the most advanced academic resources in China and the world, transforms research results into industrial solutions, and brings together talent, technology and capital to drive development. The conference sincerely invites experts, scholars, business people and other relevant personnel from universities, scientific research institutions at home and abroad to attend and exchange!
Author : Tyler Vigen
Publisher : Hachette Books
Page : 303 pages
File Size : 12,69 MB
Release : 2015-05-12
Category : Humor
ISBN : 0316339458
"Spurious Correlations ... is the most fun you'll ever have with graphs." -- Bustle Military intelligence analyst and Harvard Law student Tyler Vigen illustrates the golden rule that "correlation does not equal causation" through hilarious graphs inspired by his viral website. Is there a correlation between Nic Cage films and swimming pool accidents? What about beef consumption and people getting struck by lightning? Absolutely not. But that hasn't stopped millions of people from going to tylervigen.com and asking, "Wait, what?" Vigen has designed software that scours enormous data sets to find unlikely statistical correlations. He began pulling the funniest ones for his website and has since gained millions of views, hundreds of thousands of likes, and tons of media coverage. Subversive and clever, Spurious Correlations is geek humor at its finest, nailing our obsession with data and conspiracy theory.
Author : Alan Anderson
Publisher : John Wiley & Sons
Page : 390 pages
File Size : 19,48 MB
Release : 2015-08-11
Category : Computers
ISBN : 1118940024
The fast and easy way to make sense of statistics for big data Does the subject of data analysis make you dizzy? You've come to the right place! Statistics For Big Data For Dummies breaks this often-overwhelming subject down into easily digestible parts, offering new and aspiring data analysts the foundation they need to be successful in the field. Inside, you'll find an easy-to-follow introduction to exploratory data analysis, the lowdown on collecting, cleaning, and organizing data, everything you need to know about interpreting data using common software and programming languages, plain-English explanations of how to make sense of data in the real world, and much more. Data has never been easier to come by, and the tools students and professionals need to enter the world of big data are based on applied statistics. While the word "statistics" alone can evoke feelings of anxiety in even the most confident student or professional, it doesn't have to. Written in the familiar and friendly tone that has defined the For Dummies brand for more than twenty years, Statistics For Big Data For Dummies takes the intimidation out of the subject, offering clear explanations and tons of step-by-step instruction to help you make sense of data mining—without losing your cool. Helps you to identify valid, useful, and understandable patterns in data Provides guidance on extracting previously unknown information from large databases Shows you how to discover patterns available in big data Gives you access to the latest tools and techniques for working in big data If you're a student enrolled in a related Applied Statistics course or a professional looking to expand your skillset, Statistics For Big Data For Dummies gives you access to everything you need to succeed.
Author : Segall, Richard S.
Publisher : IGI Global
Page : 1078 pages
File Size : 31,42 MB
Release : 2018-01-05
Category : Computers
ISBN : 1522531432
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. The Handbook of Research on Big Data Storage and Visualization Techniques is a critical scholarly resource that explores big data analytics and technologies and their role in developing a broad understanding of issues pertaining to the use of big data in multidisciplinary fields. Featuring coverage on a broad range of topics, such as architecture patterns, programing systems, and computational energy, this publication is geared towards professionals, researchers, and students seeking current research and application topics on the subject.
Author : Xue-Kun Song
Publisher : Springer Science & Business Media
Page : 356 pages
File Size : 25,20 MB
Release : 2007-07-27
Category : Mathematics
ISBN : 0387713921
This book covers recent developments in correlated data analysis. It utilizes the class of dispersion models as marginal components in the formulation of joint models for correlated data. This enables the book to cover a broader range of data types than the traditional generalized linear models. The reader is provided with a systematic treatment for the topic of estimating functions, and both generalized estimating equations (GEE) and quadratic inference functions (QIF) are studied as special cases. In addition to the discussions on marginal models and mixed-effects models, this book covers new topics on joint regression analysis based on Gaussian copulas.