Process mining classification with a weightless neural network

Using a weightless neural network architecture WiSARD we propose a straightforward graph to retina codification to represent business process graph flows avoiding kernels, and we present how WiSARD outperforms the classification performance with small training sets in the process mining context.

Saved in:
Bibliographic Details
Published in:arXiv.org 2020-09
Main Authors: Rafael Garcia Barbastefano, Lippi, Maria Clara, Carvalho, Diego
Format: Article
Language:English
Subjects:
Classification
Codification
Computer architecture
Neural networks
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Using a weightless neural network architecture WiSARD we propose a straightforward graph to retina codification to represent business process graph flows avoiding kernels, and we present how WiSARD outperforms the classification performance with small training sets in the process mining context.
ISSN:2331-8422