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164,496
an experimental analysis using real world data
, 2003
"... Expectations and perceived causality in fiscal policy: an experimental analysis using real world data ..."
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Expectations and perceived causality in fiscal policy: an experimental analysis using real world data
Real-world Data is Dirty: Data Cleansing and The Merge/Purge Problem
- DATA MINING AND KNOWLEDGE DISCOVERY
, 1998
"... The problem of merging multiple databases of information about common entities is frequently encountered in KDD and decision support applications in large commercial and government organizations. The problem we study is often called the Merge/Purge problem and is difficult to solve both in scale and ..."
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Cited by 250 (0 self)
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and accuracy. Large repositories of data typically have numerous duplicate information entries about the same entities that are difficult to cull together without an intelligent "equational theory" that identifies equivalent items by a complex, domain-dependent matching process. We have developed a
Measuring Real World Data Availability
- In Proceedings of the LISA 2001 15th Systems Administration Conference
, 2001
"... Permission is granted for noncommercial reproduction of the work for educational or research purposes. ..."
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Cited by 14 (0 self)
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Permission is granted for noncommercial reproduction of the work for educational or research purposes.
Spotting Method for Classification of Real World Data
"... This paper makes the case for a spotting computation scheme which gives rise to a new classification methodology for processing real world data by surveying algorithms developed under the Real World Computing (RWC) program and related work in Japan. A spotting function has the segmentation-free char ..."
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This paper makes the case for a spotting computation scheme which gives rise to a new classification methodology for processing real world data by surveying algorithms developed under the Real World Computing (RWC) program and related work in Japan. A spotting function has the segmentation
Spotting Method for Classification of Real World Data
"... This paper makes the case for a spotting computation scheme which gives rise to a new classification methodology for processing real world data by surveying algorithms developed under the Real World Computing (RWC) program and related work in Japan. A spotting function has the segmentation-free char ..."
Abstract
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This paper makes the case for a spotting computation scheme which gives rise to a new classification methodology for processing real world data by surveying algorithms developed under the Real World Computing (RWC) program and related work in Japan. A spotting function has the segmentation
Classifying real-world data with the DDα-procedure
, 2013
"... The DDα-classifier, a nonparametric fast and very robust procedure, is de-scribed and applied to fifty classification problems regarding a broad spectrum of real-world data. The procedure first transforms the data from their original property space into a depth space, which is a low-dimensional unit ..."
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Cited by 1 (1 self)
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The DDα-classifier, a nonparametric fast and very robust procedure, is de-scribed and applied to fifty classification problems regarding a broad spectrum of real-world data. The procedure first transforms the data from their original property space into a depth space, which is a low
Video-based Face Recognition on Real-World Data
"... In this paper, we present the classification sub-system of a real-time video-based face identification system which recognizes people entering through the door of a laboratory. Since the subjects are not asked to cooperate with the system but are allowed to behave naturally, this application scenari ..."
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Cited by 36 (5 self)
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In this paper, we present the classification sub-system of a real-time video-based face identification system which recognizes people entering through the door of a laboratory. Since the subjects are not asked to cooperate with the system but are allowed to behave naturally, this application
Using Real-World Data for Coverage and Payment Decisions: The ISPOR Real-World DataTask Force Report
"... Objectives: Health decision-makers involved with coverage and payment policies are increasingly developing policies that seek information on “real-world ” (RW) outcomes. Moti-vated by these initiatives, the International Society for Phar-macoeconomics and Outcomes Research (ISPOR) created a Task For ..."
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Cited by 4 (0 self)
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Force on Real-World Data to develop a framework to assist health-care decision-makers in dealing with RW data, especially related to coverage and payment decisions. Methods: Task Force cochairs were selected by the ISPOR Board of Directors. Cochairs selected chairs for four working groups on: clinical
Automated Detection of Outliers in Real-World Data
- Proc. of the Second International Conference on Intelligent Technologies
, 2001
"... Most real-world databases include a certain amount of exceptional values, generally termed as "outliers". The isolation of outliers is important both for improving the quality of original data and for reducing the impact of outlying values in the process of knowledge discovery in databases ..."
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Cited by 7 (0 self)
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Most real-world databases include a certain amount of exceptional values, generally termed as "outliers". The isolation of outliers is important both for improving the quality of original data and for reducing the impact of outlying values in the process of knowledge discovery
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164,496
