Changes
On December 2, 2024 at 5:55:48 PM UTC, admin:
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Changed title to IRIS Dataset (previously IRIS dataset)
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Set author of IRIS Dataset to Shubham Rathi (previously Vasantha Ramania)
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Updated description of IRIS Dataset from
The dataset used in this paper is the IRIS dataset, which is a multivariate dataset containing 150 samples from three species of iris flowers, each described by 4 features.
toThe IRIS dataset is used to test the proposed method.
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Removed the following tags from IRIS Dataset
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Added the following tags to IRIS Dataset
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Changed value of field
defined_in
tohttps://doi.org/10.48550/arXiv.1906.09293
in IRIS Dataset -
Changed value of field
citation
to[]
in IRIS Dataset -
Deleted resource Original Metadata from IRIS Dataset
f | 1 | { | f | 1 | { |
2 | "access_rights": "", | 2 | "access_rights": "", | ||
n | 3 | "author": "Vasantha Ramania", | n | 3 | "author": "Shubham Rathi", |
4 | "author_email": "", | 4 | "author_email": "", | ||
n | 5 | "citation": [ | n | 5 | "citation": [], |
6 | "https://doi.org/10.1155/2021/6671628", | ||||
7 | "https://doi.org/10.1088/1742-5468/abc62f", | ||||
8 | "https://doi.org/10.48550/arXiv.2305.11060" | ||||
9 | ], | ||||
10 | "creator_user_id": "17755db4-395a-4b3b-ac09-e8e3484ca700", | 6 | "creator_user_id": "17755db4-395a-4b3b-ac09-e8e3484ca700", | ||
n | 11 | "defined_in": "https://doi.org/10.48550/arXiv.1807.07839", | n | 7 | "defined_in": "https://doi.org/10.48550/arXiv.1906.09293", |
12 | "doi": "10.57702/00i3hgmp", | 8 | "doi": "10.57702/00i3hgmp", | ||
13 | "doi_date_published": "2024-12-02", | 9 | "doi_date_published": "2024-12-02", | ||
14 | "doi_publisher": "TIB", | 10 | "doi_publisher": "TIB", | ||
15 | "doi_status": true, | 11 | "doi_status": true, | ||
16 | "domain": "https://service.tib.eu/ldmservice", | 12 | "domain": "https://service.tib.eu/ldmservice", | ||
n | 17 | "extra_authors": [ | n | ||
18 | { | ||||
19 | "extra_author": "Pandarasamy Arjunana", | ||||
20 | "orcid": "" | ||||
21 | }, | ||||
22 | { | ||||
23 | "extra_author": "Kameshwar Poollac", | ||||
24 | "orcid": "" | ||||
25 | }, | ||||
26 | { | ||||
27 | "extra_author": "Clayton Miller", | ||||
28 | "orcid": "" | ||||
29 | } | ||||
30 | ], | ||||
31 | "groups": [ | 13 | "groups": [ | ||
n | 32 | { | n | ||
33 | "description": "", | ||||
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36 | "image_display_url": "", | ||||
37 | "name": "artificial-neural-networks", | ||||
38 | "title": "Artificial Neural Networks" | ||||
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44 | "image_display_url": "", | 18 | "image_display_url": "", | ||
45 | "name": "classification", | 19 | "name": "classification", | ||
46 | "title": "Classification" | 20 | "title": "Classification" | ||
n | 47 | }, | n | ||
48 | { | ||||
49 | "description": "", | ||||
50 | "display_name": "Data Science", | ||||
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52 | "image_display_url": "", | ||||
53 | "name": "data-science", | ||||
54 | "title": "Data Science" | ||||
55 | }, | ||||
56 | { | ||||
57 | "description": "", | ||||
58 | "display_name": "Machine Learning", | ||||
59 | "id": "1d8623c9-adbd-4f91-be1e-53847c4ac32a", | ||||
60 | "image_display_url": "", | ||||
61 | "name": "machine-learning", | ||||
62 | "title": "Machine Learning" | ||||
63 | }, | ||||
64 | { | ||||
65 | "description": "", | ||||
66 | "display_name": "Multivariate Analysis", | ||||
67 | "id": "c9520cac-48db-4ee3-8920-63e81fb3be72", | ||||
68 | "image_display_url": "", | ||||
69 | "name": "multivariate-analysis", | ||||
70 | "title": "Multivariate Analysis" | ||||
71 | }, | ||||
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77 | "name": "neuroevolution", | ||||
78 | "title": "Neuroevolution" | ||||
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83 | "id": "07bb11cf-405c-4a8d-9536-85c943765d5e", | ||||
84 | "image_display_url": "", | ||||
85 | "name": "thermal-imaging", | ||||
86 | "title": "Thermal Imaging" | ||||
87 | }, | ||||
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91 | "id": "555f2c17-f6a1-409b-9403-3fecdee9d08e", | ||||
92 | "image_display_url": "", | ||||
93 | "name": "urban-planning", | ||||
94 | "title": "Urban Planning" | ||||
95 | } | 21 | } | ||
96 | ], | 22 | ], | ||
97 | "id": "7063d7c8-c2ff-45b0-9ae6-143b363e15de", | 23 | "id": "7063d7c8-c2ff-45b0-9ae6-143b363e15de", | ||
98 | "isopen": false, | 24 | "isopen": false, | ||
99 | "landing_page": "https://archive.ics.uci.edu/ml/datasets/iris", | 25 | "landing_page": "https://archive.ics.uci.edu/ml/datasets/iris", | ||
100 | "license_title": null, | 26 | "license_title": null, | ||
101 | "link_orkg": "", | 27 | "link_orkg": "", | ||
102 | "metadata_created": "2024-12-02T17:44:48.830896", | 28 | "metadata_created": "2024-12-02T17:44:48.830896", | ||
n | 103 | "metadata_modified": "2024-12-02T17:44:49.199365", | n | 29 | "metadata_modified": "2024-12-02T17:55:48.040730", |
104 | "name": "iris-dataset", | 30 | "name": "iris-dataset", | ||
n | 105 | "notes": "The dataset used in this paper is the IRIS dataset, which | n | 31 | "notes": "The IRIS dataset is used to test the proposed method.", |
106 | is a multivariate dataset containing 150 samples from three species of | ||||
107 | iris flowers, each described by 4 features.", | ||||
108 | "num_resources": 1, | 32 | "num_resources": 0, | ||
109 | "num_tags": 12, | 33 | "num_tags": 3, | ||
110 | "organization": { | 34 | "organization": { | ||
111 | "approval_status": "approved", | 35 | "approval_status": "approved", | ||
112 | "created": "2024-11-25T12:11:38.292601", | 36 | "created": "2024-11-25T12:11:38.292601", | ||
113 | "description": "", | 37 | "description": "", | ||
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115 | "image_url": "", | 39 | "image_url": "", | ||
116 | "is_organization": true, | 40 | "is_organization": true, | ||
117 | "name": "no-organization", | 41 | "name": "no-organization", | ||
118 | "state": "active", | 42 | "state": "active", | ||
119 | "title": "No Organization", | 43 | "title": "No Organization", | ||
120 | "type": "organization" | 44 | "type": "organization" | ||
121 | }, | 45 | }, | ||
122 | "owner_org": "079d46db-32df-4b48-91f3-0a8bc8f69559", | 46 | "owner_org": "079d46db-32df-4b48-91f3-0a8bc8f69559", | ||
123 | "private": false, | 47 | "private": false, | ||
124 | "relationships_as_object": [], | 48 | "relationships_as_object": [], | ||
125 | "relationships_as_subject": [], | 49 | "relationships_as_subject": [], | ||
n | 126 | "resources": [ | n | 50 | "resources": [], |
127 | { | ||||
128 | "cache_last_updated": null, | ||||
129 | "cache_url": null, | ||||
130 | "created": "2024-12-02T18:38:42", | ||||
131 | "data": [ | ||||
132 | "dcterms:title", | ||||
133 | "dcterms:accessRights", | ||||
134 | "dcterms:creator", | ||||
135 | "dcterms:description", | ||||
136 | "dcterms:issued", | ||||
137 | "dcterms:language", | ||||
138 | "dcterms:identifier", | ||||
139 | "dcat:theme", | ||||
140 | "dcterms:type", | ||||
141 | "dcat:keyword", | ||||
142 | "dcat:landingPage", | ||||
143 | "dcterms:hasVersion", | ||||
144 | "dcterms:format", | ||||
145 | "mls:task", | ||||
146 | "datacite:isDescribedBy" | ||||
147 | ], | ||||
148 | "description": "The json representation of the dataset with its | ||||
149 | distributions based on DCAT.", | ||||
150 | "format": "JSON", | ||||
151 | "hash": "", | ||||
152 | "id": "2a04d3f2-22b7-4255-b989-641e80ab0d7b", | ||||
153 | "last_modified": "2024-12-02T17:44:49.190428", | ||||
154 | "metadata_modified": "2024-12-02T17:44:49.202257", | ||||
155 | "mimetype": "application/json", | ||||
156 | "mimetype_inner": null, | ||||
157 | "name": "Original Metadata", | ||||
158 | "package_id": "7063d7c8-c2ff-45b0-9ae6-143b363e15de", | ||||
159 | "position": 0, | ||||
160 | "resource_type": null, | ||||
161 | "size": 1307, | ||||
162 | "state": "active", | ||||
163 | "url": | ||||
164 | resource/2a04d3f2-22b7-4255-b989-641e80ab0d7b/download/metadata.json", | ||||
165 | "url_type": "upload" | ||||
166 | } | ||||
167 | ], | ||||
168 | "services_used_list": "", | 51 | "services_used_list": "", | ||
169 | "state": "active", | 52 | "state": "active", | ||
170 | "tags": [ | 53 | "tags": [ | ||
171 | { | 54 | { | ||
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173 | "id": "809ad6af-28cd-43bd-974d-055a5c0f2973", | 56 | "id": "cc82e2f5-be18-4e27-9bd8-0cb307b8a455", | ||
174 | "name": "Semantic Segmentation", | 57 | "name": "Classification", | ||
175 | "state": "active", | 58 | "state": "active", | ||
176 | "vocabulary_id": null | 59 | "vocabulary_id": null | ||
177 | }, | 60 | }, | ||
178 | { | 61 | { | ||
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182 | "state": "active", | 65 | "state": "active", | ||
183 | "vocabulary_id": null | 66 | "vocabulary_id": null | ||
184 | }, | 67 | }, | ||
185 | { | 68 | { | ||
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187 | "id": "59dd6cd3-7cf6-4b15-b93a-38fcee4cc407", | ||||
188 | "name": "Urban Planning", | ||||
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196 | "state": "active", | ||||
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199 | { | ||||
200 | "display_name": "back-propagation", | ||||
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214 | "display_name": "evolutionary learning", | ||||
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217 | "state": "active", | ||||
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219 | }, | ||||
220 | { | ||||
221 | "display_name": "iris dataset", | 69 | "display_name": "Iris", | ||
222 | "id": "8087c1d0-c524-4568-b98b-a09bbba297de", | 70 | "id": "f810c93f-f031-453d-b41e-21445e224225", | ||
223 | "name": "iris dataset", | 71 | "name": "Iris", | ||
224 | "state": "active", | ||||
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237 | "name": "multivariate analysis", | ||||
238 | "state": "active", | ||||
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240 | }, | ||||
241 | { | ||||
242 | "display_name": "neuroevolution", | ||||
243 | "id": "e0b4b195-1db2-4caa-abff-a7d7c5ab092d", | ||||
244 | "name": "neuroevolution", | ||||
245 | "state": "active", | ||||
246 | "vocabulary_id": null | ||||
247 | }, | ||||
248 | { | ||||
249 | "display_name": "spiking neural network", | ||||
250 | "id": "76606698-a490-406f-9d65-f9ea489e038e", | ||||
251 | "name": "spiking neural network", | ||||
252 | "state": "active", | 72 | "state": "active", | ||
253 | "vocabulary_id": null | 73 | "vocabulary_id": null | ||
254 | } | 74 | } | ||
255 | ], | 75 | ], | ||
t | 256 | "title": "IRIS dataset", | t | 76 | "title": "IRIS Dataset", |
257 | "type": "dataset", | 77 | "type": "dataset", | ||
258 | "version": "" | 78 | "version": "" | ||
259 | } | 79 | } |