• No se han encontrado resultados

An overview of emerging pattern mining in supervised descriptive rule discovery: taxonomy, empirical study, trends, and prospects

N/A
N/A
Protected

Academic year: 2020

Share "An overview of emerging pattern mining in supervised descriptive rule discovery: taxonomy, empirical study, trends, and prospects"

Copied!
22
0
0

Texto completo

Loading

Figure

Figure 1 presents the relationships between the types of EPs most used throughout the literature, which are summarized below:
TABLE 2 | Confusion Matrix for a Pattern
Figure 2 presents the general schema of border-based algorithms. First, it extracts the
TABLE 4 | Datasets Used in the Study, Including the Number of Attributes, the Number of Examples and the Number of Classes for Each One Name # Attributes # Examples # Classes Name # Attributes # Examples # Classes
+5

Referencias

Documento similar

GARCIA de JALON (1980) has studied the changes in stream benthic communities caused by the Pinilla reservoir in the Lozoya river (Central Spain), which is used for water

This Subsection is devoted to the applications of link prediction studied within this dissertation, including prioritization using heterogeneous data, the disambiguation of

This doctoral thesis provides a health overview for the Palestinian population in regard to factors relating to quality of life and the prevalence of depression in patients

Wiens (2004) analysed the important role of morphological data in phylogeny reconstruction and reported many reasons to continue to do morphologi- cal phylogenetics, in spite of

In order to enlighten the original cultural space of Beauvoir and her work, the first chapter of the study provides an overview of Simone de Beauvoir and her work in

"An Overview of Design Strategies in

We will see how the properties of these graphs, along with some extensions of the classic Landau’s Theorem on conjugacy classes for normal subgroups, have been used in order to

The aim of this study is to analyse the factors related to the use of addictive substances in adolescence using association rules, descriptive tools included in Data Mining.. Thus,