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Databases and Data Mining

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Presentation on theme: "Databases and Data Mining"— Presentation transcript:

1 Databases and Data Mining
李素瑛、曾憲雄、梁婷、彭文志、黃俊龍

2 Members and Research Directions
Multimedia databases and mining 李素瑛 E-learning platform and mining 曾憲雄 Information retrieval and Web mining 梁婷 Sensor data management and mining 彭文志 Mobile data management and mining 黃俊龍、彭文志

3 Sensor data management and mining
In-network mining Object moving patterns Clustering Multi-domain sequential pattern mining Outlier detection Energy efficient query processing Query optimization Spatial query processing such as KNN and event surrounding query

4 In-Network Mining Mining object moving behavior
In-network mining algorithm Hierarchy optimization Energy efficient scheme for object tracking Query processing mechanism 4 3 Location prediction aggregation 2 1 1 1 1 Location prediction

5 Outliner Detection in WSN
Trust network for data accuracy Building trust relations among sensors Filtering faulty readings Ensuring data accuracy

6 Location-dependent Services
Community Discovery Spatial Query Processor Folksonomy Database GPS Query Focused Crawler Map Database Adapted Query List Summarization and Ranking Recommendation Service Other Services Location-dependent Services

7 Research Area of Prof. S.-Y. Lee
Peer-to-Peer Content Based Information Retrieval Video Understanding Human behavior analysis Video based analysis of sports video

8 Peer-to-Peer Content Based Information Retrieval
Traditional IR Systems Centralized, but not Scalable Traditional P2P System Scalable fault tolerant, self-organizing Only support exact key match Extend P2P with content-based search Content-based Music/Image Retrieval Semantic-based Publish/Subscribe This work is about building p2p IR system using structured overlay networks, which is also called DHT Efficient at lookup objects given precise key, not good at partial match, like we do with search engines.

9 Human Behavior Analysis
Object Extraction Feature Selection Action Recognition

10 Video based analysis of sports video
Sports video analysis Ball and player tracking Strategy analysis Event detection Video enrichment


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