Expert Systems in Statistics

1984 ◽  
Vol 1 (3) ◽  
pp. 2-10 ◽  
Author(s):  
D.J. Hand
Keyword(s):  
Data Analysis ◽  
Expert Systems ◽  
Recent Work ◽  
Expert Consultant

AbstractStatistical expert systems are attracting increasing attention as a possible way to alleviate the shortage of expert consultant statisticians. This paper summarises the requirements of such systems, showing how the demands of data analysis are different from those of other fields, and describes some recent work.

scholarly journals Accidental Orientations: Rethinking Queerness in Archival Times

2019 ◽  
Vol 17 (5) ◽  
pp. 602-617
Author(s):  
Brian Schram
Keyword(s):  
Big Data ◽  
Data Analysis ◽  
Recent Work ◽  
Data Analytics ◽  
Big Data Analytics ◽  
Political Orientation ◽  
Ontological Category ◽  
Ongoing Process ◽  
Digital Surveillance ◽  
Open Mesh

This paper critically interrogates the viability of “Queer” as an ontological category, identity, and radical political orientation in an era of digital surveillance and Big Data analytics. Drawing on recent work by Matzner (2016) on the performative dimensions of Big Data, I argue that Big Data’s potential to perform and create Queerness (or its opposites) in the absence of embodiment and intentionality necessitates a rethinking of phenomenological or affective approaches to Queer ontology. Additionally, while Queerness is often theorized as an ongoing process of negotiations, (re)orientations, and iterative becomings, these perspectives presume elements of categorical mobility that Big Data precludes. This paper asks: what happens when our data performs Queerness without our permission or bodily complacency? And can a Queerness that insists on existing in the interstitial margins of categorization, or in the “open mesh of possibilities, gaps, and overlaps” (Sedgwick 1993: 8), endure amidst a climate of highly granular data analysis?

scholarly journals Combining ILC and moment expansion techniques for extracting average-sky signals and CMB anisotropies

2020 ◽  
Author(s):  
Aditya Rotti ◽  
Jens Chluba
Keyword(s):  
Data Analysis ◽  
Cosmic Microwave Background ◽  
Linear Combination ◽  
Recent Work ◽  
Mode Analysis ◽  
Full Potential ◽  
Spectral Distortion ◽  
Microwave Background ◽  
Moment Methods ◽  
Moment Expansion

Abstract The method of weighted addition of multi-frequency maps, more commonly referred to as Internal Linear Combination (ILC), has been extensively employed in the measurement of cosmic microwave background (CMB) anisotropies and its secondaries along with similar application in 21cm data analysis. Here we argue and demonstrate that ILC methods can also be applied to data from absolutely-calibrated CMB experiments to extract average-sky signals in addition to the conventional CMB anisotropies. The performance of the simple ILC method is, however, limited, but can be significantly improved by adding constraints informed by physics and existing empirical information. In recent work, a moment description has been introduced as a technique of carrying out high precision modeling of foregrounds in the presence of inevitable averaging effects. We combine these two approaches to construct a heavily constrained form of the ILC, dubbed MILC, which can be used to recover tiny monopolar spectral distortion signals in the presence of realistic foregrounds and instrumental noise. This is a first demonstration for measurements of the monopolar and anisotropic spectral distortion signals using ILC and extended moment methods. We also show that CMB anisotropy measurements can be improved, reducing foreground biases and signal uncertainties when using the MILC. While here we focus on CMB spectral distortions, the scope extends to the 21cm monopole signal and B-mode analysis. We briefly discuss augmentations that need further study to reach the full potential of the method.

scholarly journals Modeling of critical systems implementing negative events using dual Petri nets

2018 ◽  
Vol 226 ◽  
pp. 04001 ◽  
Author(s):  
Marina A. Ganzhur ◽  
Aleksei P. Ganzhur ◽  
Olga V. Smirnova
Keyword(s):  
Fuzzy Logic ◽  
Data Analysis ◽  
Expert Systems ◽  
Petri Nets ◽  
Petri Net ◽  
Negative Events ◽  
Linguistic Variables ◽  
Critical Systems ◽  
Fuzzy Petri Net ◽  
Fuzzy Nets

This work is devoted to solving the problem of modeling critical systems based on the use of modified Petri nets. The dual (binary) Petri net one of the modifications, which allows us to view inversing events at the same time, solving the problem with the possibility of deadlocks. Construction of schemes using fuzzy logic makes it possible to calculate the values of linguistic variables obtained knowledge. Petri dual network allows you to organize the exclusion of negative events by introducing additional links. In accordance with the rules, it is possible to construct a dual fuzzy Petri net, which involves the use of maximum and minimum transitions or appropriate logical calculations of conjunctions and disjunctions. Transition from classical Petri nets to dual fuzzy nets, realizes fuzzy knowledge of logical deriving that gives the chance in construction of expert systems with fuzzy logic solving a problem of data analysis.

Clinical datafiles and expert systems: knowledge evaluation from data analysis

2003 ◽  
Author(s):  
A. Duhamel ◽  
P. Roussel ◽  
C. Robert ◽  
L. Moussu
Keyword(s):  
Data Analysis ◽  
Expert Systems ◽  
Knowledge Evaluation

scholarly journals Expert Systems in Geographical Informatics

Geografie ◽  
1992 ◽  
Vol 97 (4) ◽  
pp. 253-260
Author(s):  
Jaromír Kolejka
Keyword(s):  
Decision Making ◽  
Data Analysis ◽  
Expert System ◽  
Expert Systems ◽  
Data Management ◽  
Knowledge Base ◽  
Data Interpretation ◽  
Natural Phenomena ◽  
Remotely Sensed Data ◽  
Artifical Intelligence

The advanced GIS are equipped both by a database and a knowledge base. The knowledge base contains a system of rules for the purpose oriented data management and processing, which simulate the process of decision-making carried out by an expert. The principles of and experience with expert system creation are described. The expert system applications were tested in the territorial data analysis, the natural phenomena modelling, the remotely sensed data interpretation, the cartographic processes, the artifical intelligence experiments, etc.

Demography and Gerontology: Mortality Trends Among the Oldest Old

1997 ◽  
Vol 17 (6) ◽  
pp. 713-725 ◽  
Author(s):  
EMILY GRUNDY
Keyword(s):  
United States ◽  
Data Analysis ◽  
Recent Work ◽  
Oldest Old ◽  
The United States ◽  
Old People ◽  
Mortality Trends ◽  
Very Old ◽  
Population Science ◽  
Very High

This paper provides a brief introduction to demography and population science and the newly emerged subfield of the demography of ageing. Links with gerontology are explored. Recent work on mortality at very high ages and on the black-white mortality ‘cross-over’ reported from the United States is then reviewed. These topics are important substantively and theoretically and also serve to illustrate demographic approaches to data and data analysis. Analytic approaches to the topics reviewed have had to be imaginative as there are major problems with data on very old people. Recent work indicates that the mortality of very old people, including centenarians, has fallen considerably, at least in those countries where good data exist. The mortality ‘cross-over’, however, appears to be artefactual, at least at ages under 95 years.

Expert Systems for Confirmatory Data Analysis

1987 ◽  
Vol 20 (10) ◽  
pp. 83-85
Author(s):  
M. Egea ◽  
J.-P. Marciano
Keyword(s):  
Data Analysis ◽  
Expert Systems ◽  
Confirmatory Data Analysis
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