• Aucun résultat trouvé

Criteria Formation of Effective High-School Graduates Employment Based upon Data Mining Methods

N/A
N/A
Info
Télécharger
Protected

Academic year: 2022

Partager "Criteria Formation of Effective High-School Graduates Employment Based upon Data Mining Methods"

Copied!
1
0
0

Chargement.... (Voir le texte intégral maintenant)

Texte intégral

(1)

Criteria Formation of Effective High-School Graduates Employment Based upon Data Mining Methods

I. Bolodurina, Y. Akhmayzyanova Orenburg State University, Orenburg, Russia

yuliyanova@yandex.ru

Abstract. This work is devoted to the investigation of the main factors influ- encing high-school graduates’ employment. This investigation is conducted us- ing Data Mining methods. Two approaches to the identification of hidden pat- terns in data are employed. The first method is decision trees and the second method is production rules extraction. Both methods are combined and com- pared to each other.

Keywords: Data Mining, patterns identification, criteria, effective graduates employment.

Références

Télécharger maintenant ( PDF - 1 Page - 65.81 KB )

Documents relatifs

Data Mining

This book is about the tools and techniques of machine learning used in practical data mining for finding, and describing, structural patterns in data.. As with any burgeoning

DATA MINING METHODS AND MODELS

Principal components analysis (PCA) seeks to explain the correlation structure of a set of predictor variables using a smaller set of linear combinations of these variables..

Data Mining

Research on this problem in the late 1970s found that these diagnostic rules could be generated by a machine learning algorithm, along with rules for every other disease category,

DATA MINING METHODS and APPLICATIONS

SAS Solutions OnDemand has taken this approach a bit further here by taking the output from the affinity analysis to help create input variables that complement the predictive

DATA MINING AND KNOWLEDGE DISCOVERY VIA LOGIC-BASED METHODS

An alternative approach might be to repair only a few clauses of the existing Boolean function in a way that the modified function correctly classifies all the available

Data Mining

The main body of the book is as follows: Part 1, Data Mining and Knowledge Discovery Process (two Chapters), Part 2, Data Understanding (three Chapters), Part 3, Data

Data Mining

In order to develop efficient text mining techniques for search and access of textual information, it is important to take advantage of the principles behind classical string

Data Mining

Each of the three sets must be chosen independently: The validation set must be different from the training set to obtain good performance in the optimization or selection stage,