Welcome, Guest . Login . Türkçe
Where Am I: Ninova / Courses / Faculty of Computer and Informatics / YZV 312E / Course Informations
 

Course Information

Course Name
Turkish Veri Madenciliği
English Data Mining
Course Code
YZV 312E Credit Lecture
(hour/week)
Recitation
(hour/week)
Laboratory
(hour/week)
Semester 5
3 3 - -
Course Language English
Course Coordinator Şule Öğüdücü
Course Objectives Learning data mining techniques and concepts
Analysis of application domain and choose appropriate data mining technique
Design and implement data mining models
Interpret the model results
Course Description Data mining and knowledge discovery, Data cleaning and preprocessing methods, classification methods, Clustering methods, Association rules, Text mining, model evaluation
Course Outcomes Ability to prepare data for data mining applications
Ability to choose appropriate data mining algorithm
Ability to understand the theoretical foundations and workings of different data mining methods
Ability to evaluate and interpret the results of different models
Ability to analyse current problems and modify a data mining method to solve a new problem
Pre-requisite(s)
Required Facilities
Other
Textbook
Other References
 
 
Courses . Help . About
Ninova is an ITU Office of Information Technologies Product. © 2024