TR EN

İSTANBUL GELİŞİM ÜNİVERSİTESİ BİLGİ SİSTEMİ

VERİ VE METİN MADENCİLİĞİ DERS TANITIM VE UYGULAMA BİLGİLERİ

Kodu Dersin Adı Yarıyıl Süresi(T+U) Kredisi AKTS Kredisi
IBY324 VERİ VE METİN MADENCİLİĞİ 6 4 2 8

HAFTALIK DERS KONULARI VE ÖNGÖRÜLEN HAZIRLIK ÇALIŞMALARI
Hafta Ön Hazırlık Konular Yöntem
1 - Introduction and general concepts Lecture, Discussion, Practice
2 Literature Reading Fields of application of data mining Lecture, Discussion, Practice
3 Literature Reading Introducing ready programs in data mining- Electronic statement programs in data mining Lecture, Discussion, Practice
4 Literature Reading Preparing the data for analysis (steps) Lecture, Discussion, Practice
5 Literature Reading OLAP Lecture, Discussion, Practice
6 Literature Reading Classification and clustering Lecture, Discussion, Practice
7 Literature Reading Decision Trees Lecture, Discussion, Practice
8 - MID-TERM EXAM -
9 Literature Reading Statistics in data mining Lecture, Discussion, Practice
10 Literature Reading Artificial intelligence in data mining Lecture, Discussion, Practice
11 Literature Reading Artificial neural networks in data mining Lecture, Discussion, Practice
12 Literature Reading Association rules Lecture, Discussion, Practice
13 Literature Reading Other mining techniques in data mining - Web and text mining Lecture, Discussion, Practice
14 Literature Reading Case Studies Lecture, Discussion, Practice
15 Literature Reading Industrial applications in data mining Lecture, Discussion, Practice
16 - FINAL EXAM -
17 - FINAL EXAM -