- 2014 Spring Semester Course
- Instructor:
Prof. Byoung-Tak Zhang
- TAs:
Ha-Young Jang & Beom-Jin Lee
- Classroom: 302-209, 302-311-1
- Time: Tue & Thu, 2:00 pm - 3:15pm
- Objectives
- To review recent developments in web search, knowledge discovery, business intelligence, and recommender systems
- To study technical tools for data mining and information retrieval for building smart services based on web- based and mobile devices
- To learn analytics algorithms for classification, regression, clustering, anomaly detection, collaborative filtering, network analysis, and time series analysis
- To get future perspectives on intelligent services based on IoT, cloud computing, wearable smart devices, social media, and big data
- Text
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Recommender Systems: An Introduction, Jannach, Zanker, Felfernig, and Friedrich, 2010.
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Reference
- Materials will be provided in the classes
-
Evaluation
- Two exams (50%)
- Two miniprojects (30%)
- Project presentation (10%)
- Participation in discussion (10%)
- • Projects
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Project 1: Movie recommendation
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Project 2: Text mining
- Announcement
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