Results 261 to 270 of about 50,356,783 (293)
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Proceedings of the 1st annual conference on Computer graphics and interactive techniques - SIGGRAPH '74, 1974
In recent years, graphics has become an essential part of modern data analysis. It is particularly useful for interactive data analysis. This paper describes a system called CLOUDS which is designed to make available on inexpensive storage tube terminals a wide range of graphic tools related to data analysis, economics, and management science.
Roy E. Welsch, Helge Bjaaland
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In recent years, graphics has become an essential part of modern data analysis. It is particularly useful for interactive data analysis. This paper describes a system called CLOUDS which is designed to make available on inexpensive storage tube terminals a wide range of graphic tools related to data analysis, economics, and management science.
Roy E. Welsch, Helge Bjaaland
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Rheumatic Disease Clinics of North America, 1995
A system for data analysis is the end product of study planning, form design, data entry, data verification, and statistical analysis. This article reviews these steps and considers the fundamental choices in software for data entry and analysis. The appendix includes a listing of general and specialized software for data management and statistical ...
J K, Rao, L F, Callahan
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A system for data analysis is the end product of study planning, form design, data entry, data verification, and statistical analysis. This article reviews these steps and considers the fundamental choices in software for data entry and analysis. The appendix includes a listing of general and specialized software for data management and statistical ...
J K, Rao, L F, Callahan
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Journal of Travel & Tourism Marketing, 2002
Abstract This article applies Data Envelopment Analysis (DEA) to the field of travel and tourism. DEA has become a popular technique for measuring and evaluating performance. It has been successfully applied for the evaluation of efficiencies and the identification of benchmarking partners in situations where multiple inputs and outputs occur.
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Abstract This article applies Data Envelopment Analysis (DEA) to the field of travel and tourism. DEA has become a popular technique for measuring and evaluating performance. It has been successfully applied for the evaluation of efficiencies and the identification of benchmarking partners in situations where multiple inputs and outputs occur.
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Proceedings of the thirty-third annual ACM symposium on Theory of computing, 2001
Experimental evidence suggests that spectral techniques are valuable for a wide range of applications. A partial list of such applications include (i) semantic analysis of documents used to cluster documents into areas of interest, (ii) collaborative filtering --- the reconstruction of missing data items, and (iii) determining the relative importance ...
Yossi Azar +4 more
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Experimental evidence suggests that spectral techniques are valuable for a wide range of applications. A partial list of such applications include (i) semantic analysis of documents used to cluster documents into areas of interest, (ii) collaborative filtering --- the reconstruction of missing data items, and (iii) determining the relative importance ...
Yossi Azar +4 more
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Technometrics, 2000
Preface Notation 1. Fundamental Concepts 2. Examples of Probability Functions 3. The Monte Carlo Method 4. Statistical Tests 5. General Concepts of Parameter Estimation 6. The Method of Maximum Likelihood 7. The Method of Least Squares 8. The Method of Moments 9. Statistical Errors, Confidence Intervals and Limits 10.
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Preface Notation 1. Fundamental Concepts 2. Examples of Probability Functions 3. The Monte Carlo Method 4. Statistical Tests 5. General Concepts of Parameter Estimation 6. The Method of Maximum Likelihood 7. The Method of Least Squares 8. The Method of Moments 9. Statistical Errors, Confidence Intervals and Limits 10.
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2015
The quality and transferability (generalizability) of the results depends on the analytical skills of the researcher. This is one of the greatest strength of qualitative research, but also a major weakness. Therefore, it is crucial that the process of how the raw data is analysed is clearly documented (Eisenhardt and Graebner, 2007).
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The quality and transferability (generalizability) of the results depends on the analytical skills of the researcher. This is one of the greatest strength of qualitative research, but also a major weakness. Therefore, it is crucial that the process of how the raw data is analysed is clearly documented (Eisenhardt and Graebner, 2007).
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2010
Gene expression profiling has revolutionized functional genomics research by providing a quick handle on all the transcriptional changes that occur in the cell in response to internal or external perturbations or developmental programs. Microarrays have become the most popular technology for recording gene expression profiles.
Saroj K, Mohapatra, Arjun, Krishnan
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Gene expression profiling has revolutionized functional genomics research by providing a quick handle on all the transcriptional changes that occur in the cell in response to internal or external perturbations or developmental programs. Microarrays have become the most popular technology for recording gene expression profiles.
Saroj K, Mohapatra, Arjun, Krishnan
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Computing in Science & Engineering, 2001
One method of solving inverse problems in the presence of random variations (noise) emphasizes the importance of prior knowledge and uses Thomas Bayes's theorem from statistics. We describe a data analysis problem from experimental nuclear physics, requiring analysis of the energy spectrum from a nuclear reaction. We show how to use Bayesian methods to
Timothy C. Black, William J. Thompson
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One method of solving inverse problems in the presence of random variations (noise) emphasizes the importance of prior knowledge and uses Thomas Bayes's theorem from statistics. We describe a data analysis problem from experimental nuclear physics, requiring analysis of the energy spectrum from a nuclear reaction. We show how to use Bayesian methods to
Timothy C. Black, William J. Thompson
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2005
Intelligent Data Analysis (IDA) is an interdisciplinary study concerned with the effective analysis of data. IDA draws the techniques from diverse fields, including artificial intelligence, databases, high-performance computing, pattern recognition, and statistics.
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Intelligent Data Analysis (IDA) is an interdisciplinary study concerned with the effective analysis of data. IDA draws the techniques from diverse fields, including artificial intelligence, databases, high-performance computing, pattern recognition, and statistics.
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Communications of the ACM, 2014
Why business analytics and big data really matter for modern business organizations.
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Why business analytics and big data really matter for modern business organizations.
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