Big Data: Concepts, Methodologies, Tools, and Applications PDF Download
Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download Big Data: Concepts, Methodologies, Tools, and Applications PDF full book. Access full book title Big Data: Concepts, Methodologies, Tools, and Applications by Management Association, Information Resources. Download full books in PDF and EPUB format.
Author: Management Association, Information Resources Publisher: IGI Global ISBN: 1466698411 Category : Computers Languages : en Pages : 2523
Book Description
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 ISBN: 1466698411 Category : Computers Languages : en Pages : 2523
Book Description
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: Phil Simon Publisher: John Wiley & Sons ISBN: 1118641868 Category : Business & Economics Languages : en Pages : 256
Book Description
Residents in Boston, Massachusetts are automatically reporting potholes and road hazards via their smartphones. Progressive Insurance tracks real-time customer driving patterns and uses that information to offer rates truly commensurate with individual safety. Google accurately predicts local flu outbreaks based upon thousands of user search queries. Amazon provides remarkably insightful, relevant, and timely product recommendations to its hundreds of millions of customers. Quantcast lets companies target precise audiences and key demographics throughout the Web. NASA runs contests via gamification site TopCoder, awarding prizes to those with the most innovative and cost-effective solutions to its problems. Explorys offers penetrating and previously unknown insights into healthcare behavior. How do these organizations and municipalities do it? Technology is certainly a big part, but in each case the answer lies deeper than that. Individuals at these organizations have realized that they don't have to be Nate Silver to reap massive benefits from today's new and emerging types of data. And each of these organizations has embraced Big Data, allowing them to make astute and otherwise impossible observations, actions, and predictions. It's time to start thinking big. In Too Big to Ignore, recognized technology expert and award-winning author Phil Simon explores an unassailably important trend: Big Data, the massive amounts, new types, and multifaceted sources of information streaming at us faster than ever. Never before have we seen data with the volume, velocity, and variety of today. Big Data is no temporary blip of fad. In fact, it is only going to intensify in the coming years, and its ramifications for the future of business are impossible to overstate. Too Big to Ignore explains why Big Data is a big deal. Simon provides commonsense, jargon-free advice for people and organizations looking to understand and leverage Big Data. Rife with case studies, examples, analysis, and quotes from real-world Big Data practitioners, the book is required reading for chief executives, company owners, industry leaders, and business professionals.
Author: Barrett Williams Publisher: Barrett Williams ISBN: Category : Business & Economics Languages : en Pages : 163
Book Description
Unlock the Power of Predicting Tomorrow with "The Art of Forecasting Economic Growth"! Are you ready to delve into the intricate world of economic forecasting? Discover the strategies, methods, and tools that shape the way experts predict future economic trends. "The Art of Forecasting Economic Growth" is your comprehensive guide to mastering economic predictions and leveraging them for smarter decision-making. Start your journey with an essential introduction to economic forecasting, exploring its significance, history, and the key players that have set the stage. As you progress, get acquainted with the fundamentals of data analysis in economics – uncover the types of data, collection methods, and basic concepts in economic modeling. Dive deeper into statistical techniques with chapters dedicated to descriptive and inferential statistics, and regression analysis. Grasp the intricacies of time series analysis and learn how to utilize economic indicators for accurate predictions. Build your full understanding of constructing and validating predictive economic models. Venture into advanced econometric techniques and discover the cutting-edge role of machine learning in economic forecasting. Understand the impact of big data, and the nuanced field of behavioral economics, to enhance your forecasting accuracy even further. Explore the significance of economic policy analysis, scenario planning, and stress testing. Enhance your insight on forecasting financial markets and evaluate the accuracy of your predictions with clear, actionable metrics. Learn the best practices for communicating your forecasts, ensuring clarity and impact. Ethics play a critical role in economic forecasting. This eBook provides a mindful exploration of ethical considerations, dilemmas, and solutions, backed by real-world case studies. Utilize forecasts to shape business strategies and align them with market realities. As you reach the final chapters, look ahead to the future of economic forecasting, exploring emerging trends, the transformative influence of AI, and the dynamics of a globalized economy. "The Art of Forecasting Economic Growth" is a must-have for anyone seeking to understand and apply economic forecasting techniques. Equip yourself with the knowledge to predict, plan, and prosper in an ever-changing economic landscape. Your journey into the future of economics starts here!
Author: Shahriar Akter Publisher: Edward Elgar Publishing ISBN: 1800888554 Category : Business & Economics Languages : en Pages : 335
Book Description
This state-of-the-art Handbook provides an overview of the role of big data analytics in various areas of business and commerce, including accounting, finance, marketing, human resources, operations management, fashion retailing, information systems, and social media. It provides innovative ways of overcoming the challenges of big data research and proposes new directions for further research using descriptive, diagnostic, predictive, and prescriptive analytics.
Author: Amin Hosseinian-Far Publisher: Springer ISBN: 3319524917 Category : Technology & Engineering Languages : en Pages : 223
Book Description
This book demonstrates the use of a wide range of strategic engineering concepts, theories and applied case studies to improve the safety, security and sustainability of complex and large-scale engineering and computer systems. It first details the concepts of system design, life cycle, impact assessment and security to show how these ideas can be brought to bear on the modeling, analysis and design of information systems with a focused view on cloud-computing systems and big data analytics. This informative book is a valuable resource for graduate students, researchers and industry-based practitioners working in engineering, information and business systems as well as strategy.
Author: Vijay Kumar Publisher: CRC Press ISBN: 1000332888 Category : Technology & Engineering Languages : en Pages : 231
Book Description
Predictive analytics refers to making predictions about the future based on different parameters which are historical data, machine learning, and artificial intelligence. This book provides the most recent advances in the field along with case studies and real-world examples. It discusses predictive modeling and analytics in reliability engineering and introduces current achievements and applications of artificial intelligence, data mining, and other techniques in supply chain management. It covers applications to reliability engineering practice, presents numerous examples to illustrate the theoretical results, and considers and analyses case studies and real-word examples. The book is written for researchers and practitioners in the field of system reliability, quality, supply chain management, and logistics management. Students taking courses in these areas will also find this book of interest.
Author: Neeraj Kumar Fuloria Publisher: CRC Press ISBN: 1000965260 Category : Medical Languages : en Pages : 415
Book Description
We are in the era of large-scale science. In oncology there is a huge number of data sets grouping information on cancer genomes, transcriptomes, clinical data, and more. The challenge of big data in cancer is to integrate all this diversity of data collected into a unique platform that can be analyzed, leading to the generation of readable files. The possibility of harnessing information from all the accumulated data leads to an improvement in cancer patient treatment and outcome. Solving the big data problem in oncology has multiple facets. Big data in Oncology: Impact, Challenges, and Risk Assessment brings together insights from emerging sophisticated information and communication technologies such as artificial intelligence, data science, and big data analytics for cancer management. This book focuses on targeted disease treatment using big data analytics. It provides information about targeted treatment in oncology, challenges and application of big data in cancer therapy. Recent developments in the fields of artificial intelligence, machine learning, medical imaging, personalized medicine, computing and data analytics for improved patient care. Description of the application of big data with AI to discover new targeting points for cancer treatment. Summary of several risk assessments in the field of oncology using big data. Focus on prediction of doses in oncology using big data The most targeted or relevant audience is academics, research scholars, health care professionals, hospital management, pharmaceutical chemists, the biomedical industry, software engineers and IT professionals.
Author: Lutz Finger Publisher: "O'Reilly Media, Inc." ISBN: 1449336833 Category : Business & Economics Languages : en Pages : 157
Book Description
You can measure practically anything in the age of social media, but if you don’t know what you’re looking for, collecting mountains of data won’t yield a grain of insight. This non-technical guide shows you how to extract significant business value from big data with Ask-Measure-Learn, a system that helps you ask the right questions, measure the right data, and then learn from the results. Authors Lutz Finger and Soumitra Dutta originally devised this system to help governments and NGOs sift through volumes of data. With this book, these two experts provide business managers and analysts with a high-level overview of the Ask-Measure-Learn system, and demonstrate specific ways to apply social media analytics to marketing, sales, public relations, and customer management, using examples and case studies.
Author: Jay A. Etchings Publisher: John Wiley & Sons ISBN: 1119256186 Category : Medical Languages : en Pages : 466
Book Description
An essential guide to healthcare data problems, sources, and solutions Strategies in Biomedical Data Science provides medical professionals with much-needed guidance toward managing the increasing deluge of healthcare data. Beginning with a look at our current top-down methodologies, this book demonstrates the ways in which both technological development and more effective use of current resources can better serve both patient and payer. The discussion explores the aggregation of disparate data sources, current analytics and toolsets, the growing necessity of smart bioinformatics, and more as data science and biomedical science grow increasingly intertwined. You'll dig into the unknown challenges that come along with every advance, and explore the ways in which healthcare data management and technology will inform medicine, politics, and research in the not-so-distant future. Real-world use cases and clear examples are featured throughout, and coverage of data sources, problems, and potential mitigations provides necessary insight for forward-looking healthcare professionals. Big Data has been a topic of discussion for some time, with much attention focused on problems and management issues surrounding truly staggering amounts of data. This book offers a lifeline through the tsunami of healthcare data, to help the medical community turn their data management problem into a solution. Consider the data challenges personalized medicine entails Explore the available advanced analytic resources and tools Learn how bioinformatics as a service is quickly becoming reality Examine the future of IOT and the deluge of personal device data The sheer amount of healthcare data being generated will only increase as both biomedical research and clinical practice trend toward individualized, patient-specific care. Strategies in Biomedical Data Science provides expert insight into the kind of robust data management that is becoming increasingly critical as healthcare evolves.
Author: Management Association, Information Resources
Author: Management Association, Information Resources
Author: Phil Simon
Author: Viktor Mayer-Schönberger
Author: Barrett Williams
Author: Shahriar Akter
Author: Amin Hosseinian-Far
Author: Vijay Kumar
Author: Neeraj Kumar Fuloria
Author: Lutz Finger
Author: Jay A. Etchings