Applications Of Data Management And Analysis

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Text Data Management and Analysis

Author : ChengXiang Zhai
Publisher : Morgan & Claypool
ISBN 13 : 1970001186
Total Pages : 530 pages
Book Rating : 4.9/5 (7 download)

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Book Synopsis Text Data Management and Analysis by : ChengXiang Zhai

Download or read book Text Data Management and Analysis written by ChengXiang Zhai and published by Morgan & Claypool. This book was released on 2016-06-30 with total page 530 pages. Available in PDF, EPUB and Kindle. Book excerpt: Recent years have seen a dramatic growth of natural language text data, including web pages, news articles, scientific literature, emails, enterprise documents, and social media such as blog articles, forum posts, product reviews, and tweets. This has led to an increasing demand for powerful software tools to help people analyze and manage vast amounts of text data effectively and efficiently. Unlike data generated by a computer system or sensors, text data are usually generated directly by humans, and are accompanied by semantically rich content. As such, text data are especially valuable for discovering knowledge about human opinions and preferences, in addition to many other kinds of knowledge that we encode in text. In contrast to structured data, which conform to well-defined schemas (thus are relatively easy for computers to handle), text has less explicit structure, requiring computer processing toward understanding of the content encoded in text. The current technology of natural language processing has not yet reached a point to enable a computer to precisely understand natural language text, but a wide range of statistical and heuristic approaches to analysis and management of text data have been developed over the past few decades. They are usually very robust and can be applied to analyze and manage text data in any natural language, and about any topic. This book provides a systematic introduction to all these approaches, with an emphasis on covering the most useful knowledge and skills required to build a variety of practically useful text information systems. The focus is on text mining applications that can help users analyze patterns in text data to extract and reveal useful knowledge. Information retrieval systems, including search engines and recommender systems, are also covered as supporting technology for text mining applications. The book covers the major concepts, techniques, and ideas in text data mining and information retrieval from a practical viewpoint, and includes many hands-on exercises designed with a companion software toolkit (i.e., MeTA) to help readers learn how to apply techniques of text mining and information retrieval to real-world text data and how to experiment with and improve some of the algorithms for interesting application tasks. The book can be used as a textbook for a computer science undergraduate course or a reference book for practitioners working on relevant problems in analyzing and managing text data.

Highlighting the Importance of Big Data Management and Analysis for Various Applications

Author : Mohammad Moshirpour
Publisher : Springer
ISBN 13 : 3319602551
Total Pages : 168 pages
Book Rating : 4.3/5 (196 download)

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Book Synopsis Highlighting the Importance of Big Data Management and Analysis for Various Applications by : Mohammad Moshirpour

Download or read book Highlighting the Importance of Big Data Management and Analysis for Various Applications written by Mohammad Moshirpour and published by Springer. This book was released on 2017-08-22 with total page 168 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book addresses the impacts of various types of services such as infrastructure, platforms, software, and business processes that cloud computing and Big Data have introduced into business. Featuring chapters which discuss effective and efficient approaches in dealing with the inherent complexity and increasing demands in data science, a variety of application domains are covered. Various case studies by data management and analysis experts are presented in these chapters. Covered applications include banking, social networks, bioinformatics, healthcare, transportation and criminology. Highlighting the Importance of Big Data Management and Analysis for Various Applications will provide the reader with an understanding of how data management and analysis are adapted to these applications. This book will appeal to researchers and professionals in the field.

Frontiers in Massive Data Analysis

Author : National Research Council
Publisher : National Academies Press
ISBN 13 : 0309287812
Total Pages : 190 pages
Book Rating : 4.3/5 (92 download)

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Book Synopsis Frontiers in Massive Data Analysis by : National Research Council

Download or read book Frontiers in Massive Data Analysis written by National Research Council and published by National Academies Press. This book was released on 2013-09-03 with total page 190 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data mining of massive data sets is transforming the way we think about crisis response, marketing, entertainment, cybersecurity and national intelligence. Collections of documents, images, videos, and networks are being thought of not merely as bit strings to be stored, indexed, and retrieved, but as potential sources of discovery and knowledge, requiring sophisticated analysis techniques that go far beyond classical indexing and keyword counting, aiming to find relational and semantic interpretations of the phenomena underlying the data. Frontiers in Massive Data Analysis examines the frontier of analyzing massive amounts of data, whether in a static database or streaming through a system. Data at that scale--terabytes and petabytes--is increasingly common in science (e.g., particle physics, remote sensing, genomics), Internet commerce, business analytics, national security, communications, and elsewhere. The tools that work to infer knowledge from data at smaller scales do not necessarily work, or work well, at such massive scale. New tools, skills, and approaches are necessary, and this report identifies many of them, plus promising research directions to explore. Frontiers in Massive Data Analysis discusses pitfalls in trying to infer knowledge from massive data, and it characterizes seven major classes of computation that are common in the analysis of massive data. Overall, this report illustrates the cross-disciplinary knowledge--from computer science, statistics, machine learning, and application disciplines--that must be brought to bear to make useful inferences from massive data.

Big Data Management, Technologies, and Applications

Author : Hu, Wen-Chen
Publisher : IGI Global
ISBN 13 : 1466647000
Total Pages : 342 pages
Book Rating : 4.4/5 (666 download)

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Book Synopsis Big Data Management, Technologies, and Applications by : Hu, Wen-Chen

Download or read book Big Data Management, Technologies, and Applications written by Hu, Wen-Chen and published by IGI Global. This book was released on 2013-10-31 with total page 342 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This book discusses the exponential growth of information size and the innovative methods for data capture, storage, sharing, and analysis for big data"--Provided by publisher.

Data Management and Analysis

Author : Reda Alhajj
Publisher : Springer Nature
ISBN 13 : 3030325873
Total Pages : 261 pages
Book Rating : 4.0/5 (33 download)

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Book Synopsis Data Management and Analysis by : Reda Alhajj

Download or read book Data Management and Analysis written by Reda Alhajj and published by Springer Nature. This book was released on 2019-12-20 with total page 261 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data management and analysis is one of the fastest growing and most challenging areas of research and development in both academia and industry. Numerous types of applications and services have been studied and re-examined in this field resulting in this edited volume which includes chapters on effective approaches for dealing with the inherent complexity within data management and analysis. This edited volume contains practical case studies, and will appeal to students, researchers and professionals working in data management and analysis in the business, education, healthcare, and bioinformatics areas.

In-Memory Data Management

Author : Hasso Plattner
Publisher : Springer Science & Business Media
ISBN 13 : 3642295754
Total Pages : 286 pages
Book Rating : 4.6/5 (422 download)

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Book Synopsis In-Memory Data Management by : Hasso Plattner

Download or read book In-Memory Data Management written by Hasso Plattner and published by Springer Science & Business Media. This book was released on 2012-04-17 with total page 286 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the last fifty years the world has been completely transformed through the use of IT. We have now reached a new inflection point. This book presents, for the first time, how in-memory data management is changing the way businesses are run. Today, enterprise data is split into separate databases for performance reasons. Multi-core CPUs, large main memories, cloud computing and powerful mobile devices are serving as the foundation for the transition of enterprises away from this restrictive model. This book provides the technical foundation for processing combined transactional and analytical operations in the same database. In the year since we published the first edition of this book, the performance gains enabled by the use of in-memory technology in enterprise applications has truly marked an inflection point in the market. The new content in this second edition focuses on the development of these in-memory enterprise applications, showing how they leverage the capabilities of in-memory technology. The book is intended for university students, IT-professionals and IT-managers, but also for senior management who wish to create new business processes.

Applications of Data Management and Analysis

Author : Mohammad Moshirpour
Publisher : Springer
ISBN 13 : 3319958100
Total Pages : 217 pages
Book Rating : 4.3/5 (199 download)

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Book Synopsis Applications of Data Management and Analysis by : Mohammad Moshirpour

Download or read book Applications of Data Management and Analysis written by Mohammad Moshirpour and published by Springer. This book was released on 2018-10-04 with total page 217 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book addresses and examines the impacts of applications and services for data management and analysis, such as infrastructure, platforms, software, and business processes, on both academia and industry. The chapters cover effective approaches in dealing with the inherent complexity and increasing demands of big data management from an applications perspective. Various case studies included have been reported by data analysis experts who work closely with their clients in such fields as education, banking, and telecommunications. Understanding how data management has been adapted to these applications will help students, instructors and professionals in the field. Application areas also include the fields of social network analysis, bioinformatics, and the oil and gas industries.

In-Memory Data Management

Author : Hasso Plattner
Publisher : Springer Science & Business Media
ISBN 13 : 3642193633
Total Pages : 236 pages
Book Rating : 4.6/5 (421 download)

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Book Synopsis In-Memory Data Management by : Hasso Plattner

Download or read book In-Memory Data Management written by Hasso Plattner and published by Springer Science & Business Media. This book was released on 2011-03-08 with total page 236 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the last 50 years the world has been completely transformed through the use of IT. We have now reached a new inflection point. Here we present, for the first time, how in-memory computing is changing the way businesses are run. Today, enterprise data is split into separate databases for performance reasons. Analytical data resides in warehouses, synchronized periodically with transactional systems. This separation makes flexible, real-time reporting on current data impossible. Multi-core CPUs, large main memories, cloud computing and powerful mobile devices are serving as the foundation for the transition of enterprises away from this restrictive model. We describe techniques that allow analytical and transactional processing at the speed of thought and enable new ways of doing business. The book is intended for university students, IT-professionals and IT-managers, but also for senior management who wish to create new business processes by leveraging in-memory computing.

Effective Big Data Management and Opportunities for Implementation

Author : Singh, Manoj Kumar
Publisher : IGI Global
ISBN 13 : 1522501835
Total Pages : 324 pages
Book Rating : 4.5/5 (225 download)

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Book Synopsis Effective Big Data Management and Opportunities for Implementation by : Singh, Manoj Kumar

Download or read book Effective Big Data Management and Opportunities for Implementation written by Singh, Manoj Kumar and published by IGI Global. This book was released on 2016-06-20 with total page 324 pages. Available in PDF, EPUB and Kindle. Book excerpt: “Big data” has become a commonly used term to describe large-scale and complex data sets which are difficult to manage and analyze using standard data management methodologies. With applications across sectors and fields of study, the implementation and possible uses of big data are limitless. Effective Big Data Management and Opportunities for Implementation explores emerging research on the ever-growing field of big data and facilitates further knowledge development on methods for handling and interpreting large data sets. Providing multi-disciplinary perspectives fueled by international research, this publication is designed for use by data analysts, IT professionals, researchers, and graduate-level students interested in learning about the latest trends and concepts in big data.

SAS and R

Author : Ken Kleinman
Publisher : CRC Press
ISBN 13 : 1420070592
Total Pages : 325 pages
Book Rating : 4.4/5 (2 download)

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Book Synopsis SAS and R by : Ken Kleinman

Download or read book SAS and R written by Ken Kleinman and published by CRC Press. This book was released on 2009-07-21 with total page 325 pages. Available in PDF, EPUB and Kindle. Book excerpt: An All-in-One Resource for Using SAS and R to Carry out Common TasksProvides a path between languages that is easier than reading complete documentationSAS and R: Data Management, Statistical Analysis, and Graphics presents an easy way to learn how to perform an analytical task in both SAS and R, without having to navigate through the extensive, id

Healthcare Data Analytics and Management

Author : Nilanjan Dey
Publisher : Academic Press
ISBN 13 : 0128156368
Total Pages : 340 pages
Book Rating : 4.1/5 (281 download)

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Book Synopsis Healthcare Data Analytics and Management by : Nilanjan Dey

Download or read book Healthcare Data Analytics and Management written by Nilanjan Dey and published by Academic Press. This book was released on 2018-11-15 with total page 340 pages. Available in PDF, EPUB and Kindle. Book excerpt: Healthcare Data Analytics and Management help readers disseminate cutting-edge research that delivers insights into the analytic tools, opportunities, novel strategies, techniques and challenges for handling big data, data analytics and management in healthcare. As the rapidly expanding and heterogeneous nature of healthcare data poses challenges for big data analytics, this book targets researchers and bioengineers from areas of machine learning, data mining, data management, and healthcare providers, along with clinical researchers and physicians who are interested in the management and analysis of healthcare data. Covers data analysis, management and security concepts and tools in the healthcare domain Highlights electronic medical health records and patient information records Discusses the different techniques to integrate Big data and Internet-of-Things in healthcare, including machine learning and data mining Includes multidisciplinary contributions in relation to healthcare applications and challenges

Big Data Management

Author : Fausto Pedro García Márquez
Publisher : Springer
ISBN 13 : 3319454986
Total Pages : 267 pages
Book Rating : 4.3/5 (194 download)

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Book Synopsis Big Data Management by : Fausto Pedro García Márquez

Download or read book Big Data Management written by Fausto Pedro García Márquez and published by Springer. This book was released on 2016-11-15 with total page 267 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book focuses on the analytic principles of business practice and big data. Specifically, it provides an interface between the main disciplines of engineering/technology and the organizational and administrative aspects of management, serving as a complement to books in other disciplines such as economics, finance, marketing and risk analysis. The contributors present their areas of expertise, together with essential case studies that illustrate the successful application of engineering management theories in real-life examples.

DAMA-DMBOK

Author : Dama International
Publisher :
ISBN 13 : 9781634622349
Total Pages : 628 pages
Book Rating : 4.6/5 (223 download)

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Book Synopsis DAMA-DMBOK by : Dama International

Download or read book DAMA-DMBOK written by Dama International and published by . This book was released on 2017 with total page 628 pages. Available in PDF, EPUB and Kindle. Book excerpt: Defining a set of guiding principles for data management and describing how these principles can be applied within data management functional areas; Providing a functional framework for the implementation of enterprise data management practices; including widely adopted practices, methods and techniques, functions, roles, deliverables and metrics; Establishing a common vocabulary for data management concepts and serving as the basis for best practices for data management professionals. DAMA-DMBOK2 provides data management and IT professionals, executives, knowledge workers, educators, and researchers with a framework to manage their data and mature their information infrastructure, based on these principles: Data is an asset with unique properties; The value of data can be and should be expressed in economic terms; Managing data means managing the quality of data; It takes metadata to manage data; It takes planning to manage data; Data management is cross-functional and requires a range of skills and expertise; Data management requires an enterprise perspective; Data management must account for a range of perspectives; Data management is data lifecycle management; Different types of data have different lifecycle requirements; Managing data includes managing risks associated with data; Data management requirements must drive information technology decisions; Effective data management requires leadership commitment.

Applications of Data Management and Analysis

Author : Mohammad Moshirpour
Publisher : Springer
ISBN 13 : 9783319958095
Total Pages : 217 pages
Book Rating : 4.9/5 (58 download)

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Book Synopsis Applications of Data Management and Analysis by : Mohammad Moshirpour

Download or read book Applications of Data Management and Analysis written by Mohammad Moshirpour and published by Springer. This book was released on 2018-10-05 with total page 217 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book addresses and examines the impacts of applications and services for data management and analysis, such as infrastructure, platforms, software, and business processes, on both academia and industry. The chapters cover effective approaches in dealing with the inherent complexity and increasing demands of big data management from an applications perspective. Various case studies included have been reported by data analysis experts who work closely with their clients in such fields as education, banking, and telecommunications. Understanding how data management has been adapted to these applications will help students, instructors and professionals in the field. Application areas also include the fields of social network analysis, bioinformatics, and the oil and gas industries.

Using R and RStudio for Data Management, Statistical Analysis, and Graphics

Author : Nicholas J. Horton
Publisher : CRC Press
ISBN 13 : 1482237377
Total Pages : 313 pages
Book Rating : 4.4/5 (822 download)

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Book Synopsis Using R and RStudio for Data Management, Statistical Analysis, and Graphics by : Nicholas J. Horton

Download or read book Using R and RStudio for Data Management, Statistical Analysis, and Graphics written by Nicholas J. Horton and published by CRC Press. This book was released on 2015-03-10 with total page 313 pages. Available in PDF, EPUB and Kindle. Book excerpt: Improve Your Analytical SkillsIncorporating the latest R packages as well as new case studies and applications, Using R and RStudio for Data Management, Statistical Analysis, and Graphics, Second Edition covers the aspects of R most often used by statistical analysts. New users of R will find the book's simple approach easy to understand while more

SAS and R

Author : Ken Kleinman
Publisher : CRC Press
ISBN 13 : 1466584491
Total Pages : 473 pages
Book Rating : 4.4/5 (665 download)

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Book Synopsis SAS and R by : Ken Kleinman

Download or read book SAS and R written by Ken Kleinman and published by CRC Press. This book was released on 2014-07-17 with total page 473 pages. Available in PDF, EPUB and Kindle. Book excerpt: An Up-to-Date, All-in-One Resource for Using SAS and R to Perform Frequent Tasks The first edition of this popular guide provided a path between SAS and R using an easy-to-understand, dictionary-like approach. Retaining the same accessible format, SAS and R: Data Management, Statistical Analysis, and Graphics, Second Edition explains how to easily perform an analytical task in both SAS and R, without having to navigate through the extensive, idiosyncratic, and sometimes unwieldy software documentation. The book covers many common tasks, such as data management, descriptive summaries, inferential procedures, regression analysis, and graphics, along with more complex applications. New to the Second Edition This edition now covers RStudio, a powerful and easy-to-use interface for R. It incorporates a number of additional topics, including using application program interfaces (APIs), accessing data through database management systems, using reproducible analysis tools, and statistical analysis with Markov chain Monte Carlo (MCMC) methods and finite mixture models. It also includes extended examples of simulations and many new examples. Enables Easy Mobility between the Two Systems Through the extensive indexing and cross-referencing, users can directly find and implement the material they need. SAS users can look up tasks in the SAS index and then find the associated R code while R users can benefit from the R index in a similar manner. Numerous example analyses demonstrate the code in action and facilitate further exploration. The datasets and code are available for download on the book’s website.

Emerging Technologies and Applications in Data Processing and Management

Author : Ma, Zongmin
Publisher : IGI Global
ISBN 13 : 1522584471
Total Pages : 458 pages
Book Rating : 4.5/5 (225 download)

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Book Synopsis Emerging Technologies and Applications in Data Processing and Management by : Ma, Zongmin

Download or read book Emerging Technologies and Applications in Data Processing and Management written by Ma, Zongmin and published by IGI Global. This book was released on 2019-06-28 with total page 458 pages. Available in PDF, EPUB and Kindle. Book excerpt: Advances in web technology and the proliferation of sensors and mobile devices connected to the internet have resulted in the generation of immense data sets available on the web that need to be represented, saved, and exchanged. Massive data can be managed effectively and efficiently to support various problem-solving and decision-making techniques. Emerging Technologies and Applications in Data Processing and Management is a critical scholarly publication that examines the importance of data management strategies that coincide with advancements in web technologies. Highlighting topics such as geospatial coverages, data analysis, and keyword query, this book is ideal for professionals, researchers, academicians, data analysts, web developers, and web engineers.