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  • Vocational School of Information Technologies
  • Department of Software, Application Development and Analysis
  • Program in Front-End Software Development
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  • Web Mining
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Course Title Code Compulsory/Elective Laboratory + Practice ECTS
Web Mining ÖYG219 III. SEMESTER 2+1 3.0
Language of Instruction Türkçe
Course Type Area Elective Courses
Course Instructor(s) DR. ÖĞR. ÜYESİ MESUT AYDEMİR
Mode of Delivery Face to Face
Prerequisites There are no prerequisites.
Courses Recomended It is not available.
Recommended Reading List It will be announced later.
Assessment methods and criteria 1 Mini Exam, 2 Assignment, 1 Midterm Exam, 1 Mid-Year Exam, 1 Final Exam
Work Placement It is not available.
Catalog Content The objective of this course is to teach students how to extract meaningful and useful information from large data sets on the web. Students will gain knowledge in Introduction to Web Mining, Association Rules, Supervised and Unsupervised Learning techniques, link analysis, web crawling algorithms, and structured data parsing. Additionally, opinion mining, web usage mining, and the analysis of web data using deep learning-based methods will be explored through practical applications. The midterm exam for the course will be held between the 7th and 15th weeks.

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