DeepAI AI Chat
Log In Sign Up

Multivariate Data Explanation by Jumping Emerging Patterns Visualization

06/21/2021
by   Mário Popolin Neto, et al.
Instituto Federal de Educação
Dalhousie University
0

Visual Analytics (VA) tools and techniques have shown to be instrumental in supporting users to build better classification models, interpret model decisions and audit results. In a different direction, VA has recently been applied to transform classification models into descriptive mechanisms instead of predictive. The idea is to use such models as surrogates for data patterns, visualizing the model to understand the phenomenon represented by the data. Although very useful and inspiring, the few proposed approaches have opted to use low complex classification models to promote straightforward interpretation, presenting limitations to capture intricate data patterns. In this paper, we present VAX (multiVariate dAta eXplanation), a new VA method to support the identification and visual interpretation of patterns in multivariate data sets. Unlike the existing similar approaches, VAX uses the concept of Jumping Emerging Patterns to identify and aggregate several diversified patterns, producing explanations through logic combinations of data variables. The potential of VAX to interpret complex multivariate datasets is demonstrated through study-cases using two real-world data sets covering different scenarios.

READ FULL TEXT

page 7

page 8

01/27/2022

Human Interpretation of Saliency-based Explanation Over Text

While a lot of research in explainable AI focuses on producing effective...
09/11/2020

Visual Neural Decomposition to Explain Multivariate Data Sets

Investigating relationships between variables in multi-dimensional data ...
09/03/2017

Top-Frequency Parallel Coordinates Plots

Parallel coordinates plotting is one of the most popular methods for mul...
08/19/2019

A Co-analysis Framework for Exploring Multivariate Scientific Data

In complex multivariate data sets, different features usually include di...
10/18/2022

Multivariate outlier explanations using Shapley values and Mahalanobis distances

For the purpose of explaining multivariate outlyingness, it is shown tha...
07/22/2019

The Effect of Visual Design in Image Classification

Financial companies continuously analyze the state of the markets to ret...