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Correlation Search in Graph Databases
Published on Aug 14, 200711313 Views
Correlation mining has gained great success in many application domains for its ability to capture the underlying dependency between objects. However, the research of correlation mining from graph dat
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Chapter list
Correlation Search in Graph Databases00:03
Outline00:30
Introduction pt 100:45
Introduction pt 201:01
Introduction - Motivation pt 101:15
Introduction - Motivation pt 201:40
Introduction - Motivation pt 301:56
Introduction - Motivation pt 402:09
Introduction - Motivation pt 502:14
Introduction - Correlation Search in Graph Databases pt 102:25
Introduction - Correlation Search in Graph Databases pt 202:50
Introduction - Correlation Search in Graph Databases pt 303:01
Introduction - Correlation Search in Graph Databases pt 403:13
Introduction - Contributions pt 103:27
Introduction - Contributions pt 203:42
Problem Definition - Correlation Measure pt 104:15
Problem Definition - Correlation Measure pt 204:34
Problem Definition - Correlation Measure pt 304:56
Problem Definition05:21
Solution - Candidate Generation pt 105:44
Solution - Candidate Generation pt 206:01
Solution - Candidate Generation pt 306:27
Solution - Candidate Generation (cont’) pt 106:57
Solution - Candidate Generation (cont’) pt 207:14
Solution - Candidate Generation (cont’) pt 307:27
Solution - Candidate Generation (cont’) pt 407:39
Solution - Heuristic Rules pt 107:54
Solution - Heuristic Rules pt 208:18
Solution - CGSearch Algorithm08:39
Performance Evaluation09:06
Effect of Candidate Generation when Varying Query Support09:56
Effect of Graph Size10:29
Conclusions10:52
Thank You11:46