Data Mining and Information Retrieval

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 Recommender Systems: An Introduction, Jannach, Zanker, Felfernig, and Friedrich, 2010. Reference Materials will be provided in the classes Evaluation Two exams (50%) Two miniprojects (30%) Project presentation (10%) Participation in discussion (10%) • Projects   Project 1: Movie recommendation Project 2: Text mining Announcement   (03/04): Class start (04/01): A reference on neighbor-based CF: CF_algorithmic_framework (06/02):Information Retrieval 발표자료 (06/02):Poster 발표 양식 및 설명

Lecture Schedule Week Topics Presenter Slides Week 1 3/4 Search, mining, and recommendation   DL 3/6 Data mining 1   DL Week 2 3/11 Data mining 2   DL 3/13 Mining tools 1 Project 1 announced TA DL Week 3 3/18 Data mining 3   DL 3/20 Mining tools 2 TA   Week 4 3/25 Mining tools 3 TA   3/27 Mining tools 4 TA   Week 5 4/1 Recommender systems   DL 4/3 Collaborative filtering   DL Week 6 4/8 Clickstream analysis   DL 4/10 Big Data(엔지니어하우스 대강당)   DL Week 7 4/15 Social network mining   1 2 4/17 Exam 1 Due of project report 1     Week 8 4/22 Web search engines   1 2 4/24 Information retrieval 1 Project 2 announced TA PRJ Week 9 4/29 Information retrieval 2 TA   5/1 Information retrieval 3 TA   Week 10 5/6 Buda's Birthday     5/8 Image retrieval and mining   DL Week 11 5/13 Video retrieval and mining   DL 5/15 Spoken document retrieval   DL Week 12 5/20 Music information retrieval   DL 5/22 Mobile search and mining   DL Week 13 5/27 Wearable search and mining   DL 5/29 Project Preparation     Week 14 6/3 Project presentation Preparation     6/5 Project presentation 1,2   DL Week 15 6/10 Exam 2     6/12 Due of project report 2

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