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Quality Aspects in Spatial Data Mining, Stein, Alfred


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Автор: Stein, Alfred
Название:  Quality Aspects in Spatial Data Mining
ISBN: 9781420069266
Издательство: Taylor&Francis
Классификация:
ISBN-10: 1420069268
Обложка/Формат: Hardback
Страницы: 374
Вес: 0.68 кг.
Дата издания: 21.11.2008
Язык: English
Размер: 236 x 158 x 23
Читательская аудитория: Undergraduate
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Поставляется из: Европейский союз


Автор: Burns, John
Название: The Kinfolk Travel: Slower Ways to See the World
ISBN: 1648290744 ISBN-13(EAN): 9781648290749
Издательство: Workman
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Цена: 4858.00 р.
Наличие на складе: Есть (более 5-х шт.)
Описание: The next book in the highly successful Kinfolk series, exploring the art of travel across five continents.

The Elements of Statistical Learning

Автор: Trevor Hastie; Robert Tibshirani; Jerome Friedman
Название: The Elements of Statistical Learning
ISBN: 0387848576 ISBN-13(EAN): 9780387848570
Издательство: Springer
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Цена: 10061.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This major new edition features many topics not covered in the original, including graphical models, random forests, and ensemble methods. As before, it covers the conceptual framework for statistical data in our rapidly expanding computerized world.

Fundamentals of Spatial Data Quality

Автор: Devillers
Название: Fundamentals of Spatial Data Quality
ISBN: 1905209568 ISBN-13(EAN): 9781905209569
Издательство: Wiley
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Цена: 22010.00 р.
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Описание: This book explains the concept of spatial data quality, a key theory for minimizing the risks of data misuse in a specific decision-making context.

Spatial Data Quality

Название: Spatial Data Quality
ISBN: 113811782X ISBN-13(EAN): 9781138117822
Издательство: Taylor&Francis
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Цена: 13320.00 р.
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Описание:

Producing maps that depict the real world accurately has been a major concern of cartographers for centuries. This is especially true today as escalating access to geospatial data and the subsequent increase in user-generated content provided by Web 2.0 have significantly altered the typical processes used to produce, distribute, and use geospatial data.

Focusing on users and decisions as well as the data, Spatial Data Quality: From Process to Decisions provides an up-to-date overview of scientific progress in this core sub-discipline of the Geographic Information Sciences. Presenting results from a number of current research projects in spatial data quality (SDQ) -- from the assessment of data accuracy to legal aspects relating to the quality of geographic information -- this reference reflects the changes in practice in response to the rapid technological developments over the past decade.

An impressive panel of internationally recognized expert contributors focuses on the relationship between the quality of geographic data and the quality of decisions based on such data. Structured for easy reference, the first section of the book discusses conceptual approaches to SDQ, the second presents a number of applications of spatial data quality methods, the third looks at SDQ issues for remote sensing data, and the final section presents papers that consider the interface between the law and SDQ.

In addition to the main chapters presented in each section, a number of shorter notes present on-going and recent research projects investigating various aspects of spatial data quality.

Spatial Data Quality

Автор: Shi, Wenzhong , Fisher, Peter , Goodchild, Micha
Название: Spatial Data Quality
ISBN: 0367395851 ISBN-13(EAN): 9780367395858
Издательство: Taylor&Francis
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Цена: 10717.00 р.
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Описание:

As research in the geosciences and social sciences becomes increasingly dependent on computers, applications such as geographical information systems are becoming indispensable tools. But the digital representations of phenomena that these systems require are often of poor quality, leading to inaccurate results, uncertainty, error propagation, and potentially legal liability. Spatial data quality has become an essential research topic within geographical information science.
This book covers many of the cutting-edge research issues related to spatial data quality, including measurement in GIS and geostatistics, the modeling of spatial objects that have inherent uncertainty, spatial data quality control, quality management, communicating uncertainty and resolution, reasoning and decision-making, visualization of uncertainty and error metadata. Spatial Data Quality will be of interest to anyone undertaking research using GIS and related technologies.

Quality of Spatial Data in Command and Control System

Автор: Talhofer
Название: Quality of Spatial Data in Command and Control System
ISBN: 3319945610 ISBN-13(EAN): 9783319945613
Издательство: Springer
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Цена: 12196.00 р.
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Описание:

This monograph aims to familiarize readers with the problem of evaluating the quality and reliability of digital geographic information in terms of their use. It identifies the key requirements for the functionality of this information and describes the system of evaluating its quality and reliability. The whole text is supplemented by examples that document the impact of different quality of the information on the entire decision-making process in command and control systems at the rescue and military levels.

The monograph is primarily intended for professionals who are responsible for the implementation of digital geographic information in command and control systems, or for those who use them in their work. For this reason, particular attention is paid especially to the user aspects of the digital geographic information used.

V clav Talhofer is Full Professor of Cartography and Geoinformatics at the University of Defense in Brno, Czech Republic.

S rka Hoskov -Mayerov is Associate Professor of Mathematics at the University of Defense in Brno, Czech Republic.

Alois Hofmann is a teacher and scientist of Cartography and Geoinformatics at the University of Defense in Brno, Czech Republic.

All authors contributing to this book have been extensively studying the methods and procedures for the use of digital geographic information, especially in the environment of the Czech Armed Forces.

Spatial Data Quality

Автор: Shi, Wenzhong
Название: Spatial Data Quality
ISBN: 0415258359 ISBN-13(EAN): 9780415258357
Издательство: Taylor&Francis
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Цена: 26030.00 р.
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Spatial Data Quality

Автор: Devillers, Rodolphe
Название: Spatial Data Quality
ISBN: 1439810125 ISBN-13(EAN): 9781439810125
Издательство: Taylor&Francis
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Цена: 33686.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Social Media Mining

Автор: Zafarani
Название: Social Media Mining
ISBN: 1107018854 ISBN-13(EAN): 9781107018853
Издательство: Cambridge Academ
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Цена: 9027.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Social Media Mining integrates social media, social network analysis, and data mining to provide a coherent platform for students, practitioners, researchers and project managers to understand the basics and potentials of social media mining. It presents fundamental concepts, emerging issues, and effective algorithms for network analysis and data mining.

Between the Spreadsheets: Classifying and Fixing Dirty Data

Автор: Susan Walsh
Название: Between the Spreadsheets: Classifying and Fixing Dirty Data
ISBN: 1783305037 ISBN-13(EAN): 9781783305032
Издательство: Facet
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Цена: 7812.00 р.
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Описание: `Almost anyone can improve the quality of their data using this book as a prompt/guide`- Customer Insight Leader

Spatial Gems, Volume 1

Автор: Andreas Zufle, Cyrus Shahabi, John Krumm
Название: Spatial Gems, Volume 1
ISBN: 1450398111 ISBN-13(EAN): 9781450398114
Издательство: Mare Nostrum (Eurospan)
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Цена: 6515.00 р.
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Описание: This book presents fundamental new techniques for understanding and processing geospatial data. These "spatial gems" articulate and highlight insightful ideas that often remain unstated in graduate textbooks, and which are not the focus of research papers. They teach us how to do something useful with spatial data, in the form of algorithms, code, or equations. Unlike a research paper, Spatial Gems, Volume 1 does not focus on "Look what we have done!" but rather shows "Look what YOU can do!" With contributions from researchers at the forefront of the field, this volume occupies a unique position in the literature by serving graduate students, professional researchers, professors, and computer developers in the field alike.

Advances in Data Mining: Applications and Theoretical Aspects

Автор: Petra Perner
Название: Advances in Data Mining: Applications and Theoretical Aspects
ISBN: 3319089757 ISBN-13(EAN): 9783319089751
Издательство: Springer
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Цена: 5854.00 р.
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Описание: This book constitutes the refereed proceedings of the 14th Industrial Conference on Advances in Data Mining, ICDM 2014, held in St. Petersburg, Russia, in July 2014.


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