Sign inSign up
The "yacaree" approach to association rules thumbnail
Pause
Mute
Subtitles
Playback speed
0.25
0.5
0.75
1
1.25
1.5
1.75
2
Full screen

The "yacaree" approach to association rules

Published on Nov 11, 20113083 Views

José L. Balcázar

WAPA 2011 - Castro Urdiales

Related categories

Data Mining

Chapter list

The “yacaree” approach to association rules00:00
Association Rules and Implications00:11
Implications, I03:40
Implications, II05:41
The Confidence-and-Support Framework, I07:42
The Confidence-and-Support Framework, II12:47
Comparing Basic Data Mining Tools14:50
Example Dataset on Contraceptive Method Choice16:11
Example Dataset on Abstracts of PASCAL Reports17:18
Redundancy in Association Rules, I19:56
Redundancy in Association Rules, II23:15
Redundancy in Association Rules, III23:54
Redundancy in Association Rules, IV27:38
Irredundant Rules for Dataset FIMI pumsb-star28:51
Closure-Based Confidence Boost33:04
Relative Confidence34:57
Behavior of Some Measures, I37:39
Behavior of Some Measures, II39:32
Behavior of Some Measures, III39:58
Behavior of Some Measures, IV40:11
Behavior of Some Measures, V40:23
Behavior of Some Measures, VI40:38
Some Empirical Observations40:49
Parameter-Less, “Self-Tuning” Option41:28
Implementation44:27
Further Questions and Perspectives, I45:08
Further Questions and Perspectives, II46:50
Further Questions and Perspectives, III47:58
Further Questions and Perspectives, IV51:36