Duyurular & Dokümanlar

Ödev 4

INTRODUCTION TO DATA MINING: Presentation Dates
Ödev
23.12.2025

The presentation date for each group is given in the attachment. 


STATISTICS: Assignment
Ödev
22.12.2025

The details of the homework are given in the attachment.


INTRODUCTION TO DATA MINING: The Project Groups
Ödev
2.12.2025

According to the received e-mails, the project groups are listed in the attached document.

Since regression methods are not covered in our course, the groups that selected a continuous target variable in their dataset must convert it into categorical data and apply classification methods for prediction. However, if they prefer not to discretize the target variable, the groups may choose another dataset. In that case, the group spokesperson should inform me.

Requests for member changes or dataset changes must be submitted with a valid justification no later than December 5, 2025. No changes will be allowed after this date.



INTRODUCTION TO DATA MINING: The Project Assignment
Ödev
22.11.2025

The project assignment has been announced on online.yildiz.edu.tr. Additionally, it is attached here.


Duyuru 10

INTRODUCTION TO DATA MINING: About the resit (bütünleme) exam
Duyuru
27.01.2026

Dear students,

The resit exam for the course ‘MTM4641 Introduction to Data Mining’ will be held on Friday, January 30, 2026.

The exam will consist of open-ended (classical) questions. All topics covered in the course are included.
The necessary formulas will be provided together with the exam paper (explanations of the formulas and the meanings of the symbols will not be given).

Please bring a calculator with you to the exam. The use of mobile phones and shared calculators will be strictly prohibited.

I wish you success.


STATISTICS: About the resit exam
Duyuru
22.01.2026

The resit exam for Statistics will be a hybrid exam containing also classical and multiple-choice questions.

Statistics tables and the formulas that were distributed in the final exam will also be distributed during the resit exam. Bring a simple calculator with you to the exam. The use of mobile phones and the sharing of calculators will not be permitted.

_______________________________________________

İstatistik dersinin tekrar sınavı, klasik ve çoktan seçmeli soruları da içeren karma bir sınav olacaktır. Final sınavında dağıtılan istatistik tabloları ve formülleri, tekrar sınavında da dağıtılacaktır. Sınava yanınızda basit bir hesap makinesi getirin. Cep telefonlarının kullanımı ve hesap makinelerinin paylaşılmasına izin verilmeyecektir.

INTRODUCTION TO DATA MINING: About the final exam
Duyuru
15.01.2026

The final exam for the course “MTM4641 Introduction to Data Mining” will consist of multiple-choice questions.

The necessary formulas will be provided with the exam paper (explanations of the formulas and the meanings of symbols will not be provided).

Please bring your own calculator. The use of mobile phones and shared calculators will not be permitted.

All topics covered in class are included in the exam.

Good luck.


STATISTICS: About the final exam
Duyuru
10.01.2026

Please read the attached document related to the final exam.


INTRODUCTION TO DATA MINING: About the make-up exam (UPDATED)
Duyuru
31.12.2025


The Make-up Exam (for all midterms) for the course "MTM4641  Introduction to Data Mining" will be held on Friday, January 9, 2026, at 10:00 in classroom KMB-203 in an open-ended exam format.

The necessary formulas will be provided with the exam paper (explanations of the formulas and the meanings of symbols will not be provided).

Please bring your own calculator. The use of mobile phones and shared calculators will not be permitted.




STATISTICS: About the make-up exam
Duyuru
31.12.2025

The Make-up Exam (for all midterms) for the course "MTM3651 Statistics" will be held on Thursday, January 8, 2026, at 14:30 in classroom KMB-202 in an open-ended exam format.

Scope: All topics (excluding topics to be covered on the day of the make-up exam).

-       Only students whose excuses have been accepted by the department are eligible to take the make-up exam.

-       The scoring for each question will be indicated on the question paper.

-       The attached formulas will be provided during the exam.



STATISTICS: About the second midterm exam
Duyuru
15.12.2025

Please read the attached document related to the second exam.


INTRODUCTION TO DATA MINING: About the second midterm exam
Duyuru
12.12.2025

Please read the attached document related to the second exam.


STATISTICS: About the first midterm exam
Duyuru
14.11.2025

Please read the attached document related to the first exam.


INTRODUCTION TO DATA MINING: About the first midterm exam
Duyuru
14.11.2025

Please read the attached document related to the first exam.


Ders Notu 31

STATISTICS: Lecture notes 15
Ders Notu
7.01.2026

The lecture notes 15 have been given in the attachment.


STATISTICS: Lecture notes 14
Ders Notu
25.12.2025

The lecture notes 14 have been given in the attachment.


STATISTICS: Lecture notes 13
Ders Notu
25.12.2025

The lecture notes 13 have been given in the attachment.


STATISTICS: Lecture notes 12
Ders Notu
25.12.2025

The lecture notes 12 have been given in the attachment.


STATISTICS: Lecture notes 11
Ders Notu
11.12.2025

The lecture notes 11 have been given in the attachment.


INTRODUCTION TO DATA MINING: Supplementary document for hierarchical clustering
Ders Notu
10.12.2025

A supplementary document for hierarchical clustering is attached.


INTRODUCTION TO DATA MINING: Revized Version of chap5basicassociationanalysis
Ders Notu
3.12.2025

chap5_basic_association_analysis.pdf has been revised (see attachment.) Some parts of the originial version have been removed and FP-tree growth algorithm has been added.


STATISTICS: Worksheet about Hypothesis Testing
Ders Notu
26.11.2025

Worksheet about Hypothesis Testing is given in the attachment


STATISTICS: Lecture notes 10
Ders Notu
26.11.2025

The lecture notes 10 have been given in the attachment.


STATISTICS: Lecture notes 9
Ders Notu
26.11.2025

The lecture notes 9 have been given in the attachment.


INTRODUCTION TO DATA MINING: Supplementary document for Ensemble Methods and SMOTE
Ders Notu
12.11.2025

A supplementary document for Ensemble Methods and SMOTE is attached.



STATISTICS: Solutions of the worksheet about Sampling and Confidence Interval
Ders Notu
12.11.2025

The solutions are given in the attachment.


STATISTICS: Worksheet about Sampling and Confidence Interval
Ders Notu
6.11.2025

Worksheet about Sampling and Confidence Interval is given in the attachment


INTRODUCTION TO DATA MINING: Supplementary document for week 5
Ders Notu
29.10.2025

A supplementary document for week 4-5 is attached


STATISTICS: Lecture notes 8
Ders Notu
29.10.2025

The lecture notes 8 have been given in the attachment.


STATISTICS: Lecture notes 7
Ders Notu
29.10.2025

The lecture notes 7 have been given in the attachment.


STATISTICS: Lecture notes 6
Ders Notu
29.10.2025

The lecture notes 6 have been given in the attachment.


STATISTICS: StatisticTables
Ders Notu
22.10.2025

Important tables used in the course are given in the attachment.


STATISTICS: Lecture notes 5
Ders Notu
22.10.2025

The lecture notes 5 have been given in the attachment.


INTRODUCTION TO DATA MINING: Supplementary document for week 3-4
Ders Notu
22.10.2025

A supplementary document for week 3-3 is attached


INTRODUCTION TO DATA MINING: Supplementary document for week 3
Ders Notu
16.10.2025

A supplementary document for week 3 is attached.


STATISTICS: Lecture notes 2 (supplemenetary document)
Ders Notu
15.10.2025

A supplemenetary document is attached for week 2. 


STATISTICS: Lecture notes 1 (supplemenetary document)
Ders Notu
8.10.2025

Cumulative frequency polygons have been illustrated in the attached document.


INTRODUCTION TO DATA MINING: Supplementary document for week 1
Ders Notu
1.10.2025

A supplementary document for week 1 is attached.


STATISTICS: General information
Ders Notu
1.10.2025

The general information about the course is attached.


STATISTICS: Lecture notes 1
Ders Notu
1.10.2025

The lecture notes for week 1 have been given in the attachment.


INTRODUCTION TO DATA MINING: General information
Ders Notu
1.10.2025

The general information about the course is attached.


STATISTICS: Lecture notes 2
Ders Notu
1.10.2025

The lecture notes 2 have been given in the attachment.


STATISTICS: Lecture notes 3
Ders Notu
1.10.2025

The lecture notes 3 have been given in the attachment.


STATISTICS: Lecture notes 4
Ders Notu
1.10.2025

The lecture notes 4 have been given in the attachment.


2025-2026 Güz Haftalık Programım
Ders Notu
30.09.2025

2025-2026 Güz Haftalık Programım ektedir.


Tez Dosyaları 4

Hipospadias olgularında inflamatuar sürecin veri madenciliği yöntemleri ile tespiti
Makine Öğrenmesi Teknikleriyle Mikrodalga Meme Kanserinin Tespiti ve Konumunun Belirlenmesi
Yeni Doğanların Yoğun Bakım İhtiyacının Makine Öğrenmesi Teknikleri ile Doğum Öncesinde Tahmin Edilmesi
Veri Madenciliği Kullanılarak Mikrodalga Verileri ile Beyindeki Kitlesel Lezyonların Teşhisi