Yüksek LisansAçık Erişim

Supervised and unsupervised learning techniques in data mining

Bu tez size mi ait?

Bu kayıt toplu arşivden geldi. Sizinse profilinize bağlayın.

1999
0 görüntülenme
0 i̇ndirme
Danışman: Doç.dr. Alp Kut

Özet (EN)

IV ABSTRACT Large databases are composed of a lot of information some being very explicit and some being not so straight forward. At this point data mining with all its techniques emerges to help us getting the most out of the databases. Since we can create a lot of relationships within the databases, it is of prime importance to choose the meaningful and useful ones, techniques like machine learning is used and their reliability is checked through statistical techniques. In this study, knowledge discovery in databases, types of learning, and several data mining techniques are defined. First of all. the concept of knowledge discovery in databases and types of learning are briefly explained to enlighten the minds then, data mining is examined and discussed to a certain depth.

Yazar

Mehmet Seval Kaygulu

Bu Yayına Nasıl Atıf Yapılır

Mehmet Seval Kaygulu (Master Thesis). Supervised and unsupervised learning techniques in data mining, 1999, Dokuz Eylül University.

Lisans

Tüm Hakları Saklıdır

Bu eser belirtilen lisans koşulları altında paylaşılmaktadır.

Dokuz Eylül University tezlerinden daha fazlası