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http://hdl.handle.net/1942/32929
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DC Field | Value | Language |
---|---|---|
dc.contributor.author | BELLO GARCIA, Marilyn | - |
dc.contributor.author | NAPOLES RUIZ, Gonzalo | - |
dc.contributor.author | VANHOOF, Koen | - |
dc.contributor.author | Bello, Rafael | - |
dc.date.accessioned | 2020-12-15T11:18:22Z | - |
dc.date.available | 2020-12-15T11:18:22Z | - |
dc.date.issued | 2020 | - |
dc.date.submitted | 2020-12-11T23:51:43Z | - |
dc.identifier.citation | Intelligent Data Analysis, 24 (S1) , p. 167 -183 | - |
dc.identifier.issn | 1088-467X | - |
dc.identifier.uri | http://hdl.handle.net/1942/32929 | - |
dc.description.abstract | Data reduction techniques play a key role in instance-based classification to lower the amount of data to be processed. Prototype generation aims to obtain a reduced training set in order to obtain accurate results with less effort. This translates into a significant reduction in both algorithms' spatial and temporal burden. This issue is particularly relevant in multi-label classification , which is a generalization of multiclass classification that allows objects to belong to several classes simultaneously. Although this field is quite active in terms of learning algorithms, there is a lack of data reduction methods. In this paper, we propose several prototype generation methods from multi-label datasets based on Granular Computing. The simulations show that these methods significantly reduce the number of examples to a set of prototypes without significantly affecting classifiers' performance. | - |
dc.language.iso | en | - |
dc.publisher | - | |
dc.subject.other | Multi-Label Classification | - |
dc.subject.other | Prototype Generation | - |
dc.subject.other | Granular Computing | - |
dc.title | On the generation of multi-label prototypes | - |
dc.type | Journal Contribution | - |
dc.identifier.epage | S183 | - |
dc.identifier.issue | S1 | - |
dc.identifier.spage | S167 | - |
dc.identifier.volume | 24 | - |
local.bibliographicCitation.jcat | A1 | - |
local.publisher.place | NIEUWE HEMWEG 6B, 1013 BG AMSTERDAM, NETHERLANDS | - |
local.type.refereed | Refereed | - |
local.type.specified | Article | - |
dc.identifier.doi | 10.3233/IDA-200014 | - |
dc.identifier.isi | 000599228700010 | - |
dc.identifier.eissn | 1571-4128 | - |
local.provider.type | CrossRef | - |
local.uhasselt.uhpub | yes | - |
local.uhasselt.international | yes | - |
item.fullcitation | BELLO GARCIA, Marilyn; NAPOLES RUIZ, Gonzalo; VANHOOF, Koen & Bello, Rafael (2020) On the generation of multi-label prototypes. In: Intelligent Data Analysis, 24 (S1) , p. 167 -183. | - |
item.fulltext | With Fulltext | - |
item.validation | ecoom 2022 | - |
item.contributor | BELLO GARCIA, Marilyn | - |
item.contributor | NAPOLES RUIZ, Gonzalo | - |
item.contributor | VANHOOF, Koen | - |
item.contributor | Bello, Rafael | - |
item.accessRights | Restricted Access | - |
crisitem.journal.issn | 1088-467X | - |
crisitem.journal.eissn | 1571-4128 | - |
Appears in Collections: | Research publications |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
manuscript.pdf Restricted Access | Peer-reviewed author version | 1.72 MB | Adobe PDF | View/Open Request a copy |
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