1. FIRST CYCLE - BACHELOR'S DEGREE
  2. FACULTY OF ENGINEERING
  3. ELECTRICAL AND ELECTRONIC ENGINEERING DEPARTMENT
  4. 248 Electrical and Electronics Engineering (Evening Classes)
Course Information Course Learning Outcomes Course's Contribution To Program ECTS Workload Course Details
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COURSE INFORMATION
Course CodeCourse TitleL+P HourSemesterECTS
EEEN 488DATA MINING3 + 07th Semester4

COURSE DESCRIPTION
Course Level Bachelor's Degree
Course Type Elective
Course Objective To teach the algorithms and technologies that provides patterns, association rules, sequential patterns and association rules in a given database.
Course Content Frequent Itemset Mining algorithms. Association Rule Mining. Sequential Frequent Itemset Mining Algorithms. Sequential Association Rule Mining. Root Cause Analysis. Related technologies.
Prerequisites No the prerequisite of lesson.
Corequisite No the corequisite of lesson.
Mode of Delivery Face to Face

COURSE LEARNING OUTCOMES
1Gaining insight about the basic concepts in Data Mining
2Implementation of the most basic and widespread Frequent Itemset Mining Algorithms.
3To teach the Association Rule Mining and related concepts.
4Implementation of the most basic and widespread Sequential Frequent Itemset Mining Algorithms.
5Gaining insight about the Root Cause Analysis
6Gaining insight about the technologies related to Data Mining

COURSE'S CONTRIBUTION TO PROGRAM
PO 01PO 02PO 03PO 04PO 05PO 06PO 07PO 08PO 09PO 10PO 11
LO 001           
LO 002           
LO 003           
LO 004           
LO 005           
LO 006           
Sub Total           
Contribution00000000000

ECTS ALLOCATED BASED ON STUDENT WORKLOAD BY THE COURSE DESCRIPTION
ActivitiesQuantityDuration (Hour)Total Work Load (Hour)
Course Duration (14 weeks/theoric+practical)14342
Hours for off-the-classroom study (Pre-study, practice)14342
Mid-terms166
Final examination11414
Total Work Load

ECTS Credit of the Course





104

4
COURSE DETAILS
 Select Year   


 Course TermNoInstructors
Details 2020-2021 Spring1SERDAR İPLİKÇİ


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Course Details
Course Code Course Title L+P Hour Course Code Language Of Instruction Course Semester
EEEN 488 DATA MINING 3 + 0 1 Turkish 2020-2021 Spring
Course Coordinator  E-Mail  Phone Number  Course Location Attendance
Prof. Dr. SERDAR İPLİKÇİ iplikci@pau.edu.tr MUH A0312 MUH A0491 %70
Goals To teach the algorithms and technologies that provides patterns, association rules, sequential patterns and association rules in a given database.
Content Frequent Itemset Mining algorithms. Association Rule Mining. Sequential Frequent Itemset Mining Algorithms. Sequential Association Rule Mining. Root Cause Analysis. Related technologies.
Topics
WeeksTopics
1 introduction to data mining
2 concepts of frequent itemset mining
3 Apriori Algorithm
4 Apriori Algorithm
5 Association Rule Mining
6 ECLAT Algorithm
7 ECLAT Algorithm
8 H-mine Algorithm
9 H-mine Algorithm
10 FPtree Algorithm - tree construction
11 FPtree Algorithm - tree construction
12 FPtree Algorithm - itemset mining from tree
13 FPtree Algorithm - itemset mining from tree
14 Some applications
Materials
Materials are not specified.
Resources
Course Assessment
Assesment MethodsPercentage (%)Assesment Methods Title
Final Exam50Final Exam
Midterm Exam50Midterm Exam
L+P: Lecture and Practice
PQ: Program Learning Outcomes
LO: Course Learning Outcomes