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Domain > datacomplexity.org
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More information on this domain is in
AlienVault OTX
Is this malicious?
Yes
No
Whois
Property
Value
Organization
Whois Privacy Service
State
WA
Country
US
NameServer
ns-679.awsdns-20.net
Created
2018-09-16 16:49:39
Changed
2020-08-12 22:08:22
Expires
2021-09-16 16:49:39
DNS Resolutions
Date
IP Address
2020-08-10
52.216.245.227
(
ClassC
)
2020-09-23
52.216.245.195
(
ClassC
)
2020-10-27
52.217.88.123
(
ClassC
)
2020-11-26
52.217.86.107
(
ClassC
)
2021-01-07
52.217.110.219
(
ClassC
)
2021-01-18
52.217.70.99
(
ClassC
)
2021-01-20
52.217.49.91
(
ClassC
)
2021-01-27
52.217.49.243
(
ClassC
)
2021-01-27
52.217.104.195
(
ClassC
)
2021-02-08
52.216.152.99
(
ClassC
)
2021-02-12
52.217.103.43
(
ClassC
)
2021-02-25
52.217.93.11
(
ClassC
)
2021-02-26
52.217.74.187
(
ClassC
)
2021-03-02
52.217.78.147
(
ClassC
)
2021-03-06
52.217.109.107
(
ClassC
)
2021-03-10
52.216.154.243
(
ClassC
)
2021-03-18
52.217.90.219
(
ClassC
)
2021-04-27
52.217.78.59
(
ClassC
)
2021-05-03
52.217.160.117
(
ClassC
)
2022-05-30
52.216.40.141
(
ClassC
)
2022-08-25
54.231.129.165
(
ClassC
)
2022-11-24
52.217.163.45
(
ClassC
)
2022-11-24
52.216.54.189
(
ClassC
)
2022-12-08
52.216.216.181
(
ClassC
)
2022-12-11
52.216.208.93
(
ClassC
)
2023-11-15
16.182.99.101
(
ClassC
)
2024-02-15
52.216.109.18
(
ClassC
)
2024-02-19
52.217.122.133
(
ClassC
)
2024-03-24
52.217.170.189
(
ClassC
)
2024-04-10
52.216.52.245
(
ClassC
)
2024-04-20
52.216.114.106
(
ClassC
)
2024-05-15
52.217.136.165
(
ClassC
)
2024-06-14
54.231.229.245
(
ClassC
)
2024-06-24
52.216.37.77
(
ClassC
)
2024-07-01
54.231.129.229
(
ClassC
)
2024-07-21
16.182.36.85
(
ClassC
)
2024-08-09
54.231.235.13
(
ClassC
)
2024-08-31
52.216.219.197
(
ClassC
)
2024-09-25
54.231.137.101
(
ClassC
)
2024-09-28
52.216.56.5
(
ClassC
)
2024-11-20
52.216.216.157
(
ClassC
)
2024-12-03
52.217.228.149
(
ClassC
)
2025-02-23
54.231.227.109
(
ClassC
)
2025-03-23
3.5.24.165
(
ClassC
)
2025-04-22
54.231.228.77
(
ClassC
)
2025-04-29
54.231.193.61
(
ClassC
)
Port 80
HTTP/1.1 200 OKx-amz-id-2: z87+XabwV/FVdpaaw1ZtWkgLQT+figBovvOdUIGe0YgaYBaJMmE1djQyJwoxMHQFMEwqetxeVZgx-amz-request-id: 4V8K3W6Y2Z1QBZFRDate: Fri, 26 Feb 2021 19:29:58 GMTLast-Modified: Thu, 07 Feb 20 html>body>h2> Data complexity /h2>p>Data complexity analysis aims at providing a scientific basis torelate behavior of classifiers to certain intrinsic characteristics inthe data available for training the classifiers. The analysis seeksexplanations of a classifiers observed performance variabilityin different tasks, and thereby provides some guidance on selecting aclassifier method for a given task. The data complexity measures canalso be used to evaluate alternative set-ups of a classificationtasks, or different feature transformations on how they may impact thedifficulty of the underlying task. In a way, the complexity measures are ``features of aclassification task, which can support meta-learning forthe decisions to be made for each task, e.g. which classifier to use. ul> li> a href./doc/tutorial.html> A recent tutorial on the subject, presented at ICPR 2018. /a> /li> li> a hrefhttp://github.com/nmacia/dcol> DCoL, a C++ library for computing data complexity measures. /a> li> a hrefhttp://cran.r-project.org/web/packages/ECoL/index.html> ECoL: R code for data complexity measures. /a> li> a hrefhttp://github.com/lpfgarcia/complex> Test datasets, instructions of using ECoL. /a>/ul>hr>/body>/html>
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