Graduate School
Course: 데이터마이닝
특론, Data Mining, 2nd Semester, 2010, Room: Engineering building
B B156
Goal
of this Course
- Learn comprehensive coverage of concepts
and technique for Data Mining related area and study recent research results
through paper working
- By doing term project, each student can
do personal data mining research project.
Textbook and
Slide informations
- Textbook:Textbook: Introduction to Data Mining, PPT slide
- Student Assignment: 1 Paper Presentation and Term Project
- Final Exam. with Open book.
-
- Reference information
Assignments and Evaluation
- Report and Term Project: 30%, Paper Presentation: 10 %, Final
Exam:
50 %, Attendance and others: 10%
- Paper Presentation
and Term Project
Related Sites:
- SW, Data Set, teaching materials
- Data Mining Contest
Papers and Presentation
ACM SIGKDD 2010: http://www.sigkdd.org/kdd/2010/
ICDM 2010 : The 10th IEEE International Conference on Data Mining
PAKDD
2010
VLDB2010 Spore : Conference
Overview
ICDE 2010
Student Assignment: 1 Paper presentation and Mining Project
- Select 1 paper until Sept. 20. (Mail reference information to Prof.)
- Paper Presentation will start from Oct. 12.
- Assignment and Schedule
- 10.12 이경은, ACM SIGKDD 2009, Learning Patterns in the
Dynamics of Biological Networks
- 10.19 한소월, Frequent Regular Itemset Mining, Salvatore Ruggieri, Università di Pisa
- 10.26 Grace Kennedy, Frequent Pattern Mining with Uncertain Data, ACM SIGKDD 2009.
- 11.2 Bulgan Galbadrah, BioSnowball: Automated Population of Wikis, ACM SIGKDD 2010.
- 11.9 최정인, Connecting the Dots Between
News Articles, ACM SIGKDD 2010.
- 11.16 이아랑, Feature selection for support vector regression using probabilistic prediction, JB Yang, CJ Ong -
Proceedings of the 16th ACM SIGKDD 2010
- 11.23 장근택,
Homework
1. Solve Chap2 Exercise 18, Chap3, Exercise 1, Exercise 5.
- Submit printed document until Oct. 12. => Extended to Oct. 19.
Current Trend of IT
-
-
Smart Computing: Phone, TV, Grid etc.
-
Cloud Computing
- 3D, Location based Service
- Sensor, Context Aware Computing, Cyber-Physical System
- Semantic Web: Ontology, Video/Audio, HTML5
- Fusion Compuiting: Automobile, Ship, Construction, Robot etc
- Social Media and SW: Facebook, Twitter etc.
Database Related Issues
- Smart phone, embedded DB: SQLlite
- Data Mining, Reality mining, Stream data processing and Mining
- Intelligent System: Common Sense Knowledge based System
- Global Scale Multimedia information management
Recommended Paper list
- Database as a Service (DBaaS) Wolfgang Lehner, Kai-Uwe Sattler, Dresden University of Technology, Germany; Ilmenau University of Technology, Germany
- Techniques for Efficiently Searching in Spatial, Temporal, Spatio-Temporal, and Multimedia Databases, Hans-Peter Kriegel, Peer Kröger, Matthias Renz, LMU München, Germany
- Privacy in Data Publishing, Johannes Gehrke, Daniel Kifer, Ashwin Machanavajjhala 1Cornell University, USA; 2Pennsylvania State University, USA; Yahoo!, USA
- Mini-Me: A Min-Repro System for Database Software, Nicolas Bruno, Rimma V. Nehme, Microsoft, USA
- The Similarity Join Database Operator, Yasin N. Silva, Walid G. Aref, Mohamed H. Ali, Purdue University, USA; Microsoft, USA
- ACM SIGKDD 2010 July 28, MDMKDD Workshop
- Emerging Topic Detection on Twitter based on Temporal and Social Terms Evaluation Mario Cataldi, Luigi Di Caro, Claudio Schifanella [Slides]
- ACM SIGKDD 2010 Social Network Mining And Analysis Workshop
- Predicting Influential Users in Online Social Networks
- Twitter Topic Identification
- Workshop on Useful Patterns
- 'Mining Useful Patterns: My Evolutionary View' (abstract, slides), by Jiawei Han
- Predicting Influential Users in Online Social Networks