Location: EU Supported » PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning » The Analysis of Patterns, Cagliari 2009

Analysis of Patterns

author: Florent Nicart, Rouen University
published: Dec. 3, 2009,   recorded: September 2009,   views: 179
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Slides

Slides
0:00 Analysis of Patterns
0:36 Outline
1:16 Why Pattern Discovery?
2:23 Avalibility of huge datasets
4:40 Pattern Matching vs Pattern Discovery -1
5:17 Pattern Matching vs Pattern Discovery -2
5:59 Association Patterns -1
6:28 Association Patterns -2
6:56 Association Patterns -3
7:45 Association Patterns -4
8:13 Association Patterns -5
9:22 Frequent Set Mining -1
10:35 Frequent Set Mining -2
11:20 Frequent Set Mining -3
13:34 Frequent Set Mining -4
14:21 Frequent Set Mining -5
15:16 Frequent Set Mining -6
16:07 Frequent Set Mining -7
17:46 Frequent Set Mining -8
19:15 Frequent Set Mining -9
20:29 Frequent Set Mining -10
21:25 Association Rules Mining -1
21:41 Association Rules Mining -2
22:59 Association Rules Mining -3
24:18 Association Rules Mining -4
25:32 Association Rules Mining -5
26:34 Sequential Patterns
27:05 Sequences -1
28:01 Sequences -2
29:16 Sequences -3
29:49 Sequences -4
30:32 Sequences -5
30:57 Sequences -6
32:21 Sequences -7
32:59 Sequences -8
33:20 Sequences -9
34:18 Sequences -10
34:59 Sequences -11
36:01 Sequences -12
38:45 Languages -1
38:55 Languages -2
39:37 Languages -3
40:12 Languages -4
42:05 Languages -5
42:57 Languages -6
44:28 Languages -7
45:35 Languages -8
46:20 Languages -9
47:30 Languages -7
47:53 Languages -9
48:05 Languages -10
49:12 Languages -11
49:38 Languages -12
49:49 Languages -13
50:14 Languages -14
51:31 Languages -15
52:45 Languages -16
53:16 Languages -17
53:58 Languages -18
55:52 Languages -19
57:11 Going further ...

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Part 2: Discovering Events in Text Streams 1:12:08

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Reviews and comments:

Comment1 Ed Warner, January 6, 2011 at 12:26 p.m.:

Nice talk! But why no mention of algorithmic information theory when explaining scientific discovery? As I already wrote in a comment on Dr. Cristianini's talk: Some given data has a pattern if there exists a program that computes the data but is shorter than the data. In general, pattern analysis and scientific discovery are about finding those short programs.

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