Fisher information for big and disparate data

被引：0

作者：

Mishra, Vinod K. ^{[1
]}

机构：

[1] US Army, Res Labs, Aberdeen Proving Ground, MD 21005 USA

来源：

BIG DATA II: LEARNING, ANALYTICS, AND APPLICATIONS | 2020年 / 11395卷

关键词：

Fisher Information; disparate data; big data;

D O I：

10.1117/12.2564119

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

The extraction of useful information from large, disparate, and heterogeneous data sets requires a good set of theoretical and computational tools. The methods based on the ideas of Information Geometry (IG) offer an understanding of the hidden patterns inherent in the data as well as help in their visualization. Fisher Information is such a tool. It has been used widely in many areas of social and economic research leading to an improved understand of trends and hidden patterns. Here we outline its usefulness in understanding large and disparate data sets.

引用

页数：6

共 9 条

[1] Using Fisher information to track stability in multivariate systems [J].

Ahmad, Nasir ;

Derrible, Sybil ;

Eason, Tarsha ;

Cabezas, Heriberto .

ROYAL SOCIETY OPEN SCIENCE, 2016, 3 (11)

[2]

Amari Shun-ichi, ARXIV180807172

[3]

Dua D., 2021, Uci machine learning repository

[4]

Karunanithi AT, 2008, ECOL SOC, V13

[5]

Lidong W, 2017, ANAL GUT MICROFLORA, V7, P39, DOI DOI 10.5923/J.AJIS.20170702.01

[6] Fisher Information and dynamic regime changes in ecological systems [J].

Mayer, Audrey L. ;

Pawlowski, Christopher W. ;

Cabezas, Heriberto .

ECOLOGICAL MODELLING, 2006, 195 (1-2) :72-82

[7]

Nielsen F., ARXIV180808271

[8]

Pennington Jefferey, SPECTRUM FISHER INFO

[9]

Zhu Shengxin, 2016 INT C CYB EN DI

← 1 →