0.25
0.5
0.75
1.25
1.5
1.75
2
STARK: Self-Tuning Association Rules for KNIME - A Pascal-2 Harvest Project
Published on 2012-04-253583 Views
Presentation
STARK: Self-Tuning Association Rules for KNIME A Pascal-2 Harvest Project00:00
Implications: As a data analysis tool - 130:01:07
Implications: As a data analysis tool - 249:01:32
Implications: As a data analysis tool - 351:50:39
Implications: As a data analysis tool - 459:03:31
Implications: As a data analysis tool - 569:36:06
The Confidence-and-Support Framework, I:The confidence bound - 183:17:48
The Confidence-and-Support Framework, I:The confidence bound - 2112:43:59
The Confidence-and-Support Framework, II: The support bound - 1128:42:32
The Confidence-and-Support Framework, II: The support bound - 2147:30:17
As a Data Mining Tool: Associations are not the most successful technology so far166:50:44
Example: Dataset on Abstracts of PASCAL Reports - 1193:34:11
Example: Dataset on Abstracts of PASCAL Reports - 2197:44:10
Yet Another Example: Dataset on Contraceptive Method Choice214:08:32
Redundancy in Association Rules: A Logic-based view220:31:27
Irredundant Rules for Dataset FIMI pumsb-star: Inspires a notion of "novelty"283:37:20
Closure-Based Confidence Boost: One way through321:35:52
Parameter-Less, "Self-Tuning" Option: A somewhat bold attempt - 1344:55:53
Parameter-Less, "Self-Tuning" Option: A somewhat bold attempt - 2354:01:34
Parameter-Less, "Self-Tuning" Option: A somewhat bold attempt - 3358:18:05
Parameter-Less, "Self-Tuning" Option: A somewhat bold attempt - 4358:45:46
Parameter-Less, "Self-Tuning" Option: A somewhat bold attempt - 5372:03:38
Parameter-Less, "Self-Tuning" Option: A somewhat bold attempt - 6372:26:57
KNIME: A tool, a community, and a company387:32:36
STARK: Porting yacaree into KNIME - 1475:12:15
STARK: Porting yacaree into KNIME - 2527:44:40
STARK: Will keep working with KNIME in 2012. . . and hopefully beyond! - 1564:02:21
STARK: Will keep working with KNIME in 2012. . . and hopefully beyond! - 2573:18:38