Data Fusion Through Statistical Matching Classic Reprint
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Data Fusion Through Statistical Matching Classic Reprint
Author | : Peter Van Der Puttan |
Publsiher | : Forgotten Books |
Total Pages | : 28 |
Release | : 2017-11-20 |
Genre | : Mathematics |
ISBN | : 0331502895 |
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Excerpt from Data Fusion Through Statistical Matching One may claim that the exponential growth in the amount of data provides great Opportunities for data mining. Reality can be different though. In many real world applications, the number of sources over which this information is fragmented grows at an even faster rate, resulting in barriers to widespread application of data mining and missed business opportunities. Let us illustrate this paradox with a motivating example from database marketing. About the Publisher Forgotten Books publishes hundreds of thousands of rare and classic books. Find more at www.forgottenbooks.com This book is a reproduction of an important historical work. Forgotten Books uses state-of-the-art technology to digitally reconstruct the work, preserving the original format whilst repairing imperfections present in the aged copy. In rare cases, an imperfection in the original, such as a blemish or missing page, may be replicated in our edition. We do, however, repair the vast majority of imperfections successfully; any imperfections that remain are intentionally left to preserve the state of such historical works.
Data Fusion Through Statistical Matching
Author | : Peter Van Der Puttan,Joost N. Kok,Sloan School Of Management |
Publsiher | : Franklin Classics Trade Press |
Total Pages | : 28 |
Release | : 2018-11-10 |
Genre | : History |
ISBN | : 0353214825 |
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This work has been selected by scholars as being culturally important and is part of the knowledge base of civilization as we know it. This work is in the public domain in the United States of America, and possibly other nations. Within the United States, you may freely copy and distribute this work, as no entity (individual or corporate) has a copyright on the body of the work. Scholars believe, and we concur, that this work is important enough to be preserved, reproduced, and made generally available to the public. To ensure a quality reading experience, this work has been proofread and republished using a format that seamlessly blends the original graphical elements with text in an easy-to-read typeface. We appreciate your support of the preservation process, and thank you for being an important part of keeping this knowledge alive and relevant.
Data Fusion Through Statistical Matching
Author | : Peter Van Der Puttan |
Publsiher | : Hardpress Publishing |
Total Pages | : 36 |
Release | : 2013-12 |
Genre | : Electronic Book |
ISBN | : 1314868853 |
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Unlike some other reproductions of classic texts (1) We have not used OCR(Optical Character Recognition), as this leads to bad quality books with introduced typos. (2) In books where there are images such as portraits, maps, sketches etc We have endeavoured to keep the quality of these images, so they represent accurately the original artefact. Although occasionally there may be certain imperfections with these old texts, we feel they deserve to be made available for future generations to enjoy.
Data Fusion Through Statistical Matching
Author | : Peter van der Putten,Joost N. Kok,Amar Gupta |
Publsiher | : Unknown |
Total Pages | : 0 |
Release | : 2005 |
Genre | : Electronic Book |
ISBN | : OCLC:1375203888 |
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In data mining applications, the availability of data is often a serious problem. For instance, elementary customer information resides in customer databases, but market survey data are only available for a subset of the customers or even for a different sample of customers. Data fusion provides a way out by combining information from different sources into a single data set for further data mining. While a significant amount of work has been done on data fusion in the past, most of the research has been performed outside of the data mining community. In this paper, we provide an overview of data fusion, introduce basic terminology and the statistical matching approach, distinguish between internal and external evaluation, and we conclude with a larger case study.
Statistical Data Fusion
Author | : Kedem Benjamin,Oliveira Victor De,Sverchkov Michael |
Publsiher | : World Scientific |
Total Pages | : 200 |
Release | : 2017-01-24 |
Genre | : Mathematics |
ISBN | : 9789813200203 |
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This book comes up with estimates or decisions based on multiple data sources as opposed to more narrowly defined estimates or decisions based on single data sources. And as the world is awash with data obtained from numerous and varied processes, there is a need for appropriate statistical methods which in general produce improved inference by multiple data sources. The book contains numerous examples useful to practitioners from genomics. Topics range from sensors (radars), to small area estimation of body mass, to the estimation of small tail probabilities, to predictive distributions in time series analysis.
Data Fusion and Matching by Maximizing Statistical Dependencies
Author | : Abhishek Tripathi |
Publsiher | : Unknown |
Total Pages | : 83 |
Release | : 2011 |
Genre | : Electronic Book |
ISBN | : 9521067500 |
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Statistical Matching
Author | : Susanne Rässler |
Publsiher | : Springer Science & Business Media |
Total Pages | : 260 |
Release | : 2012-12-06 |
Genre | : Mathematics |
ISBN | : 9781461300533 |
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Government policy questions and media planning tasks may be answered by this data set. It covers a wide range of different aspects of statistical matching that in Europe typically is called data fusion. A book about statistical matching will be of interest to researchers and practitioners, starting with data collection and the production of public use micro files, data banks, and data bases. People in the areas of database marketing, public health analysis, socioeconomic modeling, and official statistics will find it useful.
Encyclopedia of Quantitative Risk Analysis and Assessment
Author | : Anonim |
Publsiher | : John Wiley & Sons |
Total Pages | : 2163 |
Release | : 2008-09-02 |
Genre | : Mathematics |
ISBN | : 9780470035498 |
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Leading the way in this field, the Encyclopedia of Quantitative Risk Analysis and Assessment is the first publication to offer a modern, comprehensive and in-depth resource to the huge variety of disciplines involved. A truly international work, its coverage ranges across risk issues pertinent to life scientists, engineers, policy makers, healthcare professionals, the finance industry, the military and practising statisticians. Drawing on the expertise of world-renowned authors and editors in this field this title provides up-to-date material on drug safety, investment theory, public policy applications, transportation safety, public perception of risk, epidemiological risk, national defence and security, critical infrastructure, and program management. This major publication is easily accessible for all those involved in the field of risk assessment and analysis. For ease-of-use it is available in print and online.