"Mapping the world of data problems"--Cover.

Author: Q. McCallum

Publisher: "O'Reilly Media, Inc."

ISBN: 9781449321888

Category: Computers

Page: 265

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"Mapping the world of data problems"--Cover.

Data cleansing includes operations that correct bad data, filter some bad data out of the data set, and filter out data that are too detailed for use in your model. Validating Codes Against Lists of Acceptable Values Human input of data ...

Author: Robert Nisbet

Publisher: Elsevier

ISBN: 9780124166455

Category: Mathematics

Page: 822

View: 329

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Handbook of Statistical Analysis and Data Mining Applications, Second Edition, is a comprehensive professional reference book that guides business analysts, scientists, engineers and researchers, both academic and industrial, through all stages of data analysis, model building and implementation. The handbook helps users discern technical and business problems, understand the strengths and weaknesses of modern data mining algorithms and employ the right statistical methods for practical application. This book is an ideal reference for users who want to address massive and complex datasets with novel statistical approaches and be able to objectively evaluate analyses and solutions. It has clear, intuitive explanations of the principles and tools for solving problems using modern analytic techniques and discusses their application to real problems in ways accessible and beneficial to practitioners across several areas—from science and engineering, to medicine, academia and commerce. Includes input by practitioners for practitioners Includes tutorials in numerous fields of study that provide step-by-step instruction on how to use supplied tools to build models Contains practical advice from successful real-world implementations Brings together, in a single resource, all the information a beginner needs to understand the tools and issues in data mining to build successful data mining solutions Features clear, intuitive explanations of novel analytical tools and techniques, and their practical applications

“bad data”, but it also works well in the presence of bad data. It helps to identify erroneous observations, “bad sites”, and bad metadata. It uses multiple, robust methods to mitigate the impact of bad data on its estimates.

Author: Martin Werner

Publisher: Springer Nature

ISBN: 9783030554620

Category: Computers

Page: 641

View: 969

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This handbook covers a wide range of topics related to the collection, processing, analysis, and use of geospatial data in their various forms. This handbook provides an overview of how spatial computing technologies for big data can be organized and implemented to solve real-world problems. Diverse subdomains ranging from indoor mapping and navigation over trajectory computing to earth observation from space, are also present in this handbook. It combines fundamental contributions focusing on spatio-textual analysis, uncertain databases, and spatial statistics with application examples such as road network detection or colocation detection using GPUs. In summary, this handbook gives an essential introduction and overview of the rich field of spatial information science and big geospatial data. It introduces three different perspectives, which together define the field of big geospatial data: a societal, governmental, and governance perspective. It discusses questions of how the acquisition, distribution and exploitation of big geospatial data must be organized both on the scale of companies and countries. A second perspective is a theory-oriented set of contributions on arbitrary spatial data with contributions introducing into the exciting field of spatial statistics or into uncertain databases. A third perspective is taking a very practical perspective to big geospatial data, ranging from chapters that describe how big geospatial data infrastructures can be implemented and how specific applications can be implemented on top of big geospatial data. This would include for example, research in historic map data, road network extraction, damage estimation from remote sensing imagery, or the analysis of spatio-textual collections and social media. This multi-disciplinary approach makes the book unique. This handbook can be used as a reference for undergraduate students, graduate students and researchers focused on big geospatial data. Professionals can use this book, as well as practitioners facing big collections of geospatial data.

From cranky storage to poor representation to misguided policy, there are many paths to bad data. Bottom line? Bad data is data that gets in the way. This book explains effective ways to get around it.

Author:

Publisher:

ISBN: 1449324959

Category: Database management

Page: 245

View: 803

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What is bad data? Some people consider it a technical phenomenon, like missing values or malformed records, but bad data includes a lot more. In this handbook, data expert Q. Ethan McCallum has gathered 19 colleagues from every corner of the data arena to reveal how they{u2019}ve recovered from nasty data problems. From cranky storage to poor representation to misguided policy, there are many paths to bad data. Bottom line? Bad data is data that gets in the way. This book explains effective ways to get around it. Among the many topics covered, you{u2019}ll discover how to: Test drive your data to see if it{u2019}s ready for analysis Work spreadsheet data into a usable form Handle encoding problems that lurk in text data Develop a successful web-scraping effort Use NLP tools to reveal the real sentiment of online reviews Address cloud computing issues that can impact your analysis effort Avoid policies that create data analysis roadblocks Take a systematic approach to data quality analysis.

1.5 The Care and Feeding of Data I mentioned previously some of the hazards of straightforward , cookbook approaches to arriving at key program decisions . At the bottom of all of these hazards is one issue : Bad data can often provide ...

Author: Lauren Fins

Publisher: Springer Science & Business Media

ISBN: 0792315685

Category: Mathematics

Page: 434

View: 207

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Quantitative genetics: why bother?; Fundamental genetic principles; Mating desings; Field test design; Concepts of selection and gain prediction; Computational methods; Estimative yeld: beyound breeding values; Quantitative approaches to decision-making in forest genetics programs; Developing seed transfer zones.

and some data smoothing and editing for grossly erroneous data . If each station fits all data to curves representing orbital mechanics , then each is really a central station and there is inefficiency in that the same computations are ...

Author: Martin Company. Space Systems Division

Publisher:

ISBN: CORNELL:31924003954017

Category: Artificial satellites

Page:

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Show the bad data points on the margins of the map—if there is a margin. Many GIS maps cover the entire world although you see only the few square miles visible through the frame of the browser window. So there may be no margin.

Author: Susan Fowler

Publisher: Elsevier

ISBN: 0080481701

Category: Computers

Page: 658

View: 323

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The standards for usability and interaction design for Web sites and software are well known. While not everyone uses those standards, or uses them correctly, there is a large body of knowledge, best practice, and proven results in those fields, and a good education system for teaching professionals "how to." For the newer field of Web application design, however, designers are forced to reuse the old rules on a new platform. This book provides a roadmap that will allow readers to put complete working applications on the Web, display the results of a process that is running elsewhere, and update a database on a remote server using an Internet rather than a network connection. Web Application Design Handbook describes the essential widgets and development tools that will the lead to the right design solutions for your Web application. Written by designers who have made significant contributions to Web-based application design, it delivers a thorough treatment of the subject for many different kinds of applications, and provides quick reference for designers looking for some fast design solutions and opportunities to enhance the Web application experience. This book adds flavor to the standard Web design genre by juxtaposing Web design with programming for the Web and covers design solutions and concepts, such as intelligent generalization, to help software teams successfully switch from one interface to another. * The first interaction design book that focuses exclusively on Web applications. * Full-color figures throughout the book. * Serves as a "cheat sheet" or "fake book" for designers: a handy reference for standards, rules of thumb, and tricks of the trade. * Applicable to new Web-based applications and for porting existing desktop applications to Web browsers.

For example, in a large data set that one of us has used extensively, there are separate SPSS data files for diagnostic data, MMPI data, ... So far, we've described procedures for identifying obviously bad data that must be purged.

Author: Frederick T. L. Leong

Publisher: SAGE Publications

ISBN: 9781452209050

Category: Psychology

Page: 536

View: 638

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The book that established itself as a standard text and reference work for students seeking to master research methods and procedures in psychology has been updated and revised in this new edition! The Second Edition of The Psychology Research Handbook: A Guide for Graduate Students and Research Assistants once again offers a comprehensive guide for understanding and conquering the entire research process. Editors Frederick T. L. Leong and James T. Austin have assembled a distinguished group of expert researchers who share skill sets accumulated as a result of years of practical exposure to the design, development, implementation, and documentation of research in psychology.

Load Estimation for DSSE In DSSE, the number of telemetered devices that can provide system measurements is often very limited, and not sufficient to allow observability of the entire network, or bad data identification.

Author: Khan, Baseem

Publisher: IGI Global

ISBN: 9781799812326

Category: Technology & Engineering

Page: 439

View: 861

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As the electrical industry continues to develop, one sector that still faces a range of concerns is the electrical distribution system. Excessive industrialization and inadequate billing are just a few issues that have plagued this electrical sector as it advances into the smart grid environment. Research is necessary to explore the possible solutions in fixing these problems and developing the distribution sector into an active and smart system. The Handbook of Research on New Solutions and Technologies in Electrical Distribution Networks is a collection of innovative research on the methods and applications of solving major issues within the electrical distribution system. Some issues covered within the publication include distribution losses, improper monitoring of system, renewable energy integration with micro-grid and distributed energy sources, and smart home energy management system modelling. This book is ideally designed for power engineers, electrical engineers, energy professionals, developers, technologists, policymakers, researchers, academicians, industry professionals, and students seeking current research on improving this key sector of the electrical industry.

All of that bad data you ignored in your reporting? It's going to come back to haunt you. The reason is that you can't write around bad data. For a graphic, you either have everything you need or you don't, and there's no middle ground.

Author: Jonathan Gray

Publisher: "O'Reilly Media, Inc."

ISBN: 9781449330026

Category: Language Arts & Disciplines

Page: 242

View: 894

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When you combine the sheer scale and range of digital information now available with a journalist’s "nose for news" and her ability to tell a compelling story, a new world of possibility opens up. With The Data Journalism Handbook, you’ll explore the potential, limits, and applied uses of this new and fascinating field. This valuable handbook has attracted scores of contributors since the European Journalism Centre and the Open Knowledge Foundation launched the project at MozFest 2011. Through a collection of tips and techniques from leading journalists, professors, software developers, and data analysts, you’ll learn how data can be either the source of data journalism or a tool with which the story is told—or both. Examine the use of data journalism at the BBC, the Chicago Tribune, the Guardian, and other news organizations Explore in-depth case studies on elections, riots, school performance, and corruption Learn how to find data from the Web, through freedom of information laws, and by "crowd sourcing" Extract information from raw data with tips for working with numbers and statistics and using data visualization Deliver data through infographics, news apps, open data platforms, and download links