Exploratory Data Analysis

By Matthieu Komorowski, D. Marshall, J. Salciccioli, Yves Crutain. 2016

390 citations recorded by the source corpus.

In this chapter, the reader will learn about the most common tools available for exploring a dataset, which is essential in order to gain a good understanding of the features and potential issues of a dataset, as well as helping in hypothesis generation.

Subfields: Artificial Intelligence, Computer Science Applications, Health Information Management

View Paper: https://www.semanticscholar.org/paper/1d09fa499a16eb4f841cc6679cdb2310398ac54c

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Santosh Srinivas Vempala
2. Kevin A. Lai
3. Ilias Diakonikolas
4. Jacob Steinhardt
5. Pravesh Kothari
6. Alistair Stewart
7. Jerry Zheng Li
8. Daniel M. Kane

Citations in the corpus

• Agnostic Estimation of Mean and Covariance (2016, background): “There is a large literature (see the books [Hub11, HRRS11, MMY06] for a comprehensive treat-ment) on robust statistics, with the goal of finding estimators that are stable under perturbations of the data.”