scholarly journals Exploring Soft Concepts with Hard Corpus-Analytic Methods

2020 ◽  
pp. 169-190
Keyword(s):  
Analytic Methods

Analytical Study on Big Data

2018 ◽  
Vol 8 (5) ◽  
pp. 75
Author(s):  
Vivek Raich ◽  
Pankaj Maurya
Keyword(s):  
Information Technology ◽  
Big Data ◽  
Decision Maker ◽  
Analytical Study ◽  
Large Data ◽  
Decision Makers ◽  
Continuous Increase ◽  
Analytic Methods ◽  
Data Store ◽  
Business Engineering

in the time of the Information Technology, the big data store is going on. Due to which, Huge amounts of data are available for decision makers, and this has resulted in the progress of information technology and its wide growth in many areas of business, engineering, medical, and scientific studies. Big data means that the size which is bigger in size, but there are several types, which are not easy to handle, technology is required to handle it. Due to continuous increase in the data in this way, it is important to study and manage these datasets by adjusting the requirements so that the necessary information can be obtained.The aim of this paper is to analyze some of the analytic methods and tools. Which can be applied to large data. In addition, the application of Big Data has been analyzed, using the Decision Maker working on big data and using enlightened information for different applications.

scholarly journals A note on two-term exponential sum and the reciprocal of the quartic Gauss sums

2021 ◽  
Vol 2021 (1) ◽  
Author(s):  
Wenpeng Zhang ◽  
Xingxing Lv
Keyword(s):  
Exponential Sums ◽  
Exponential Sum ◽  
Gauss Sums ◽  
Power Mean ◽  
Hybrid Power ◽  
Analytic Methods ◽  
Hybrid Power Mean

AbstractThe main purpose of this article is by using the properties of the fourth character modulo a prime p and the analytic methods to study the calculating problem of a certain hybrid power mean involving the two-term exponential sums and the reciprocal of quartic Gauss sums, and to give some interesting calculating formulae of them.

Examining how meta‐analytic methods perform in the presence of bias: A simulation study

2021 ◽  
Author(s):  
Paul Bramley ◽  
José A. López‐López ◽  
Julian P. T. Higgins
Keyword(s):  
Simulation Study ◽  
Analytic Methods

Applying Analytic Methods To R&D Planning: Two Case Studies

1982 ◽  
Vol 25 (6) ◽  
pp. 17-25 ◽  
Author(s):  
A.B. Borison ◽  
B.R. Judd ◽  
P.A. Morris ◽  
S.S. Sussman
Keyword(s):  
Case Studies ◽  
Analytic Methods

scholarly journals Machine learning applied to simulations of collisions between rotating, differentiated planets

2020 ◽  
Vol 7 (1) ◽  
Author(s):  
Miles L. Timpe ◽  
Maria Han Veiga ◽  
Mischa Knabenhans ◽  
Joachim Stadel ◽  
Stefano Marelli
Keyword(s):  
Machine Learning ◽  
Planet Formation ◽  
Critical Role ◽  
Ensemble Methods ◽  
Terrestrial Planet ◽  
Data Driven ◽  
Analytic Methods ◽  
Accurate Treatment ◽  
Post Impact ◽  
The Cost

AbstractIn the late stages of terrestrial planet formation, pairwise collisions between planetary-sized bodies act as the fundamental agent of planet growth. These collisions can lead to either growth or disruption of the bodies involved and are largely responsible for shaping the final characteristics of the planets. Despite their critical role in planet formation, an accurate treatment of collisions has yet to be realized. While semi-analytic methods have been proposed, they remain limited to a narrow set of post-impact properties and have only achieved relatively low accuracies. However, the rise of machine learning and access to increased computing power have enabled novel data-driven approaches. In this work, we show that data-driven emulation techniques are capable of classifying and predicting the outcome of collisions with high accuracy and are generalizable to any quantifiable post-impact quantity. In particular, we focus on the dataset requirements, training pipeline, and classification and regression performance for four distinct data-driven techniques from machine learning (ensemble methods and neural networks) and uncertainty quantification (Gaussian processes and polynomial chaos expansion). We compare these methods to existing analytic and semi-analytic methods. Such data-driven emulators are poised to replace the methods currently used in N-body simulations, while avoiding the cost of direct simulation. This work is based on a new set of 14,856 SPH simulations of pairwise collisions between rotating, differentiated bodies at all possible mutual orientations.

scholarly journals Complementary Meta-Analytic Methods for the Quantitative Review of Research: 2. An Extended Illustration

2013 ◽  
Vol 4 (2) ◽  
pp. 46 ◽  
Author(s):  
Aurelio José Figueredo ◽  
Candace Jasmine Black ◽  
Anne Grete Scott
Keyword(s):  
Higher Education ◽  
Meta Analysis ◽  
Analytic Method ◽  
Quantitative Review ◽  
Analytic Methods ◽  
Retention In Higher Education

In Figueredo, Black, and Scott (this issue), we presented the rationale for a complementary meta-analytic method to accompany traditional effects meta-analytic procedures.  Here, we provide an example using Contents Meta-Analysis so that readers can become familiar with the application of the method and the implications of its use.  This illustration will be presented in two major sections.  First, we will describe an empirical example of a meta-analysis on retention in higher education where a Contents Meta-Analysis was conducted.  Then we will show how the information gained in the Contents Meta-Analysis may be applied to address issues of generalizability. DOI:10.2458/azu_jmmss_v4i2_figueredo

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