問題一覧
1
shoppinh high ,low
trimmed mean shopping value
2
remove links
pruning
3
set attribute
attribute vector
4
set cluster
clustering
5
set connected input ,output
neural network
6
data target attribute
supervised learning
7
sum signals
soma
8
difficult apply people member ship
fuzzy logic
9
data process large number ?
ann
10
cluster closer to every point
well separated
11
linear&non linear
svm
12
sighnificance important
weigh arthimetic mean
13
change in situation
mutation
14
combine data from muliple sources
data integration
15
summarization data cube constraction
aggregation
16
reduce representation data set result
data reduction
17
percentage test set
accuray rate
18
line within box
median
19
new generation
reproduction
20
learn from example
supervised learning
21
data field representing characteristics or feature
attribute va fe di
22
represent entity
data object
23
cluster closer to center ,or cluster is centroid
center based
24
neuron connected to other neurons
associated weight
25
technology blended utilize
integrated system
26
observed value for attribute
observation
27
data labded with defin class
supervition
28
average largest smallest
midrange
29
cluster closer to one or more
contiguity based
30
data no target atribute
unsupervised learning
31
neuron has internal state
activation
32
represent with box ,hight box IQR
box plot
33
graph frequence
histogram
34
set computational predures
gentic algorthim
35
net consists larg number neurons
neural
36
rrpresent information used net to solve problem
weight
37
new atrribute
attribute feature constraction
38
regularintervals data distributin
quantiles
39
described by attribute
data object
40
remove noise from data
smoothing
41
random error
noisy data
42
random position
crossover
43
receives signals
dendrites
44
scaled fall within small
normalization
45
region point ,separated by low density
density based
46
simple process elemnt
neurond
47
share some common property
conceptual cluster
48
point beyound outlier
outliers
49
data object non overlapping
partitonal clustering
50
cluster orginized
hirarchical clustering
51
data set made data object
data object
52
distance between first,third
IQR
53
quantitative,quntity
numeric attribute
54
cimbin fuzzey logic with neural netwotks
fuzzy neural network
55
to line minimum,maximum
whidkers
56
hierarchy climbing
generlization
57
close to mean ,large range
standard deviation
58
plot useful for providing first lock
correlation relationships