Data Analysis Machine Learning and Applications Episode 1 Part 1 doc
Data Analysis Machine Learning and Applications Episode 3 Part 9 docx
... R., 31 9
Bessler, Wolfgang, 499
Biemann, Chris, 577
Borgelt, Christian, 2 29
Bradley, Patrick E., 95
Brunner, Gerd, 237
Brusch, Michael, 431
Burgard, Wolfram, 2 69, 2 93
Burkhardt, Hans, 11, 37 , 237
Calò, ... Wendelin, 2 69
Fernández-Aguirre, K., 1 83
Fessant, F., 34 3
Fiedler, Mathias, 2 29
Flodman, Pamela, 1 19
Franke, Markus, 35 5
Fried, Roland, 277
Gabriel, Thomas R.,...
Data Analysis Machine Learning and Applications Episode 2 Part 1 pot
... watermark database.
Table 1.
Averaged precision and recall at N /2 for the watermark database.
Classes 1 2 3 4 5 6 7 8 9 10 11 12 13 14
N 322 11 5 13 9 71 91 44 19 7 12 6 99 33 14 31 17 416
P(N /2) .4 92 .24 3 ... 416
P(N /2) .4 92 .24 3 . 21 4 .14 4 .10 9 .24 4 .17 3 .097 .4 42 .068 .19 0 .8 02 .556 .28 3
R(N /2) . 528 .13 9 .3 02 .19 7 .088 .1 82 .1 52 .19 1...
Data Analysis Machine Learning and Applications Episode 2 Part 2 ppsx
... 20 01), FSG (Kuramochi and Karypis 20 01),
MoSS/MoFa (Borgelt and Berthold 20 02) , gSpan (Yan and Han 20 02) , Closegraph
(Yan and Han 20 03), FFSM (Huan et al. 20 03), and Gaston (Nijssen and Kok 20 04).
A ... (1988b):
LM
A
O
=
[ˆu
W
2
ˆu/
ˆ
V
2
]
2
T
22
−(T
21 A
)
2
ˆvar(
ˆ
U)
, (6)
LM
A
U
=
[ˆu
B
BW
1
y]
2
H
rho
−H
TU
ˆvar(
ˆ
T)H
TU
, (7)
where T
2...
Data Analysis Machine Learning and Applications Episode 2 Part 3 pps
... preparation (data= d1, variable='lname',
method='asoundex')
lname asoundex.lname
11 525 6 WESTERHEIDE W 236
20 0001 BESTEWEIDE B 233
20 00 02 WESTERWELLE W 236
3. 3 Candidate selection
candidates (data1 , ... retains only 83
candidates.
> candidates (data1 =d1.prep, data2 =d2.prep,
method='blocking',selvars1='asoundex.lname')
> candidates (...
Data Analysis Machine Learning and Applications Episode 2 Part 4 doc
... winners).
Misclassification
J4.8 J4.8(cv) RPart0 RPart1 QUEST CTree
J4.8 029 911839
J4.8(cv)
40 8911 941
RPart0
560710735
RPart1
641 08 625
QUEST
42 2 50 720
CTree
76789037
26 20 27 38 49 37
Complexity J4.8 J4.8(cv) RPart0 ... RPart0 RPart1 QUEST CTree
J4.8 010 020 3
J4.8(cv)
17 0 0 0 5 3 25
RPart0
18 18 0 0 13 15 64
RPart1
18 18 16 0 14 15 81
QUEST
15 13 5 4 0 10 47
CT...
Data Analysis Machine Learning and Applications Episode 2 Part 5 pps
... (4 .5% )
Global mean
typical application day cluster number
unknown
up
unknown
down
p2p
up
p2p
down
web
up
web
down
0 5 10 15 20 25
0
1
2
3
4
5
6
x 10
6
0 5
1
0
1
5
2
0
2
5
0
0 .5
1
1 .5
2
2 .5
x ... 20 30 40 50 60 70 80
0
0 .2
0.4
0.6
0.8
1
Typical day 12
0 5 10 15 20 25
0
1
2
3
4
5
x 10
7
0 5
1
0
1
5
2
0
2
5
0
2
4
6
8
10
x 10
6
cluster 6, a...
Data Analysis Machine Learning and Applications Episode 2 Part 6 potx
... 361
108 560
1 8 26
109 36 0 26 285183
18 16
923 1 021 51
1948
123 47 02
1 924
30044079003 5 26 98
1858
24 7198 924 00
1898
26 3 26 62 8 200005145
1775
22 800903 921 91 060 100 56
1 922
70 460 0
1 969
9 761 860
1847
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108 560
1 8 26
109 36 0 26 285183
18 16
923 1 021 51
1948
123 47 02
1 924
30044079003 5 26 98
1858
24 71...
Data Analysis Machine Learning and Applications Episode 2 Part 7 docx
... Identification. Socimetry, 28 ,
27 7 29 9.
OKADA, A. (20 03): Using Additive Conjoint Measurement in Analysis of Social Network
Data. In: M. Schwaiger, and O. Opitz (Eds.): Exploratory Data Analysis in Empirical
Research. ... 2
Characteristic values
Actor (Family) 4 .23 3 3.418
1 Acciaiuoli 0. 129 0.134
2 Albizzi 0 .21 0 0.300
3 Barbadori 0. 179 0.053
4 Bischeri 0. 328 -0 .26...
Data Analysis Machine Learning and Applications Episode 2 Part 8 docx
... 7. 78 24 (2) .24 (1) 12. 84 32 (2) . 32 (1)
Type of building 9.09 . 08 (2) 22 (3) 8. 36 03 (2) 12 (3)
.14 (1) .15 (1)
Outside facilities 7.40 .25 (1) .00 (2) 12. 11 . 28 (1) 09 (2)
25 (3) 19 (3)
(* The ... (1)
37 (3) 26 (3)
Beach 9 .83 10 (2) .35 (1) 5.56 09 (2) .26 (1)
25 (3) 17 (3)
Hotel services
Leisure activities 11. 72 20 (6) 02 (2) 7. 52 04 (6) . 02 (2)
.04 (2) .20...
Data Analysis Machine Learning and Applications Episode 2 Part 9 pdf
... pseudo R
2
1 -131. 49 28 0 .97 28 9. 97 .00 .23
2 -117.04 27 6. 09 29 7. 09 . 09 .81
3 -100 .96 26 7. 92 300. 92 .08 . 92
4 - 89. 76 26 9. 52 314. 52 .11 . 92
5 - 82. 62 2 79 .24 336 .24 .11 .95
Classifying Contemporary ... biased
T
04s
8 .93 2. 10 2. 59 biased
T
05s
10. 59 -8.75 -4.70 biased
TM score 3.67 4.05 .88 10 . 29
DM score 2. 71 1.03 -7.87 8 .94
EM...
Data Analysis Machine Learning and Applications Episode 2 Part 10 docx
... ’000)
20 00 20 01 20 02 2003 20 04
0
25
50
75
100
125
150
Box Jenkins (# 10)
SE (in ’000)
20 00 20 01 20 02 2003 20 04
0
25
50
75
100
125
150
Linear Regression (# 2)
SE (in ’000)
20 00 20 01 20 02 2003 20 04
0
25
50
75
100
125
150
VAR(4)-Model ... 0.00.51.01. 52. 02. 53.0
ARL 3 42. 18 341. 42 339. 42 334. 52 326 .63 316.80 306. 92
SDRL 338.74 338. 62...
Data Analysis Machine Learning and Applications Episode 3 Part 1 pdf
... 1 035 11 4 15 9 13 17 158 0 . 31 4
Polynomial
(3rd degree)
12 42 633 516 14 767 17 158 0.6 43
RBF
860 6 51 498 15 149 17 158 0.640
Coulomb
0 11 24 25 16 009 17 158 0 .14 8
M1
287 850 299 15 722 17 158 0.505
M2
*
19 1 ... Me
NonV B
T3
Ratios VB
T2
NonV B
T2
VB
T3
NonV B
T3
Test1 Test2
ROS 9.52 3. 93 5 .39 2 .16 1 03 11 6
ROE 6.7 3. 83 3 .3 2. 01 111 11 0
ROI 6.85...
Data Analysis Machine Learning and Applications Episode 3 Part 2 pdf
... Artificial Intelligence, pp. 43 52, July 1998.
BURKE, R. (20 02) : Hybrid Recommender Systems: Survey and Experiments. User Modeling
and User-Adapted Interaction. vol. 12( 4), pp. 33 1 37 0.
HERLOCKER, J.L., ... EachMovie, containing 2, 558,871
votes from 61, 1 32 users on 1,6 23 movies, and the MovieLens100k dataset, contain-
ing 100,000 ratings from 9 43 users on 1,6 82 movies. Th...
Data Analysis Machine Learning and Applications Episode 3 Part 6 doc
... story
The empirical tests on the data from the 66 texts support our hypothesis with good
and very good 2 values. Figures 2 and 3 show typical graphs of the theoretical and
empirical distributions ... information. Figure 6 shows the relationship
between the parameters b and c.
Quantitative Text Analysis Using L-, F- and T-Segments 63 9
Table 1. Text numbers in the corpus w...
Data Analysis Machine Learning and Applications Episode 3 Part 8 doc
... Linguistics, 637 , 655
Question Answering, 5 53
R, 33 5, 38 9, 569
Rank Data, 681
Recommender Systems, 525, 533 , 541,
619
Record Linkage, 33 5
Reference Modelling, 37 3
Regression, 36 3
Relationships, 36 3, 629
Return ... Segmentation, 479
Data Analysis, 31 9
Data Augmentation, 111
Data Depth, 455
Data Integration, 33 5
Data Mining, 421
Data Quality, 33 5
Data Tran...
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