Semantic Data Mining00:00
Tutorial overview00:12
Overview of Part 100:52
Background and motivation: Data mining01:28
Background and motivation: Using BK in data mining01:51
Background and motivation: Relational data mining - 103:01
Background and motivation: Relational data mining - 203:39
Background and motivation: Relational data mining - 304:06
Background and motivation: Relational data mining - 406:13
Background and motivation: Using domain ontologies - 106:37
Background and motivation: Using domain ontologies - 207:45
Background and motivation: Early work08:35
What is Semantic Data Mining - 110:46
What is Semantic Data Mining - 211:27
What is Semantic Data Mining - 312:34
What is Semantic Data Mining - 413:23
What is Semantic Data Mining - 514:17
Early work in Semantic subgroup discovery: RSD and SEGS15:15
RSD: Propositionalization approach to relational data mining - 116:18
RSD: Propositionalization approach to data mining - 217:09
RSD: Propositionalization approach to data mining - 317:37
Relational subgroup discovery with RSD17:49
Semantic subgroup discovery with RSD - 118:09
Semantic subgroup discovery with RSD - 219:08
Semantic subgroup discovery with RSD - 319:27
Semantic subgroup discovery with RSD - 422:01
RSD: Propositionalization22:28
RSD: Rule construction with CN2-SD23:29
RSD implementation in Orange4WS24:12
Semantic subgroup discovery with SEGS - 124:49
Semantic subgroup discovery with SEGS - 227:09
Semantic subgroup discovery with SEGS - 328:38
Semantic subgroup discovery with SEGS - 429:43
Semantic subgroup discovery with SEGS - 530:27
From SEGS to g-SEGS: Generalizing SEGS30:48
Publications in Semantic subgroup discovery31:51
Other related publications31:56
Summary32:41
Part 1b Overview36:34
g-SEGS37:34
g-SEGS: rule construction38:04
g-SEGS: rule selection - 138:36
g-SEGS: rule selection - 239:19
SDM-Aleph40:21
SDM-Aleph: rule construction and selection41:08
SDM-Aleph: implementation41:46
Experimental datasets43:02
Experimental results43:37
Example subgroup description44:40
Demo45:00
