Data Mining_ Concepts and Techniques - Jiawei Han [430]
comparison illustration311
summarized pattern311
traditional311
TrAdaBoost436
training
Bayesian belief networks396–397
data18
sets328
tuples332–333
transaction reduction255
transactional databases13
example13–14
transactions, components of13
transfer learning430, 435, 434–436, 438
applications435
approaches to436
heterogeneous436
negative transfer and436
target task435
traditional learning versus435
treemaps63, 65
trend analysis
spatial595
in time-series data588
for time-series forecasting588
trends, data mining622–625, 626
triangle inequality73
trimmed mean46
trimodal47
true negatives365
true positives365
t-test372
tuples9
duplication98–99
negative364
partitioning334, 337
positive364
training332–333
two sample t-test373
two-layer neural networks399
two-level hash index structure264
U
ubiquitous data mining618–620, 625
uncertainty sampling433
undersampling384, 386
example384–385
uniform support285–286
unimodal47
unique rules92
univariate distribution40
univariate Gaussian mixture model504
univariate outlier detection554–555
unordered attributes103
unordered rules358
unsupervised learning25, 330, 445, 490
clustering as25, 445, 490
example25
supervised learning versus330
unsupervised outlier detection550
assumption550
clustering methods acting as551
upper approximation427
user interaction30–31
V
values
exception234
expected97, 234
missing88–89
residual234
in rules or patterns281
variables
grouping231
predicate295
predictor105
response105
variance51, 98
example51
function of50
variant graph patterns591
version space433
vertical data format260
example260–262
frequent itemset mining with259–262, 272
video data analysis319
virtual warehouses133
visibility graphs537
visible points537
visual data mining602–604, 625
data mining process visualization603
data mining result visualization603
data visualization602–603
as discipline integration602
illustrations604–607
interactive604, 607
as mining trend624
Viterbi algorithm591
W
warehouse database servers131
warehouse refresh software151
waterfall method152
wavelet coefficients100
wavelet transforms99, 100–102
discrete (DWT)100–102
for multidimensional data102
on sparse and skewed data102
web directories28
web mining597, 624
content597
as mining trend624
structure597–598
usage598
web search engines28, 523–524
web-document classification435
weight arithmetic mean46
weighted Euclidean distance74
Wikipedia597
WordNet597
working relations172
initial168, 169
World Wide Web (WWW)1–2, 4, 14
Worlds-with-Worlds63, 64
wrappers127
Z
z-score normalization114–115