Please use this identifier to cite or link to this item:
http://hdl.handle.net/1942/32525
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | FUENTES HERRERA, Ivett | - |
dc.contributor.author | NAPOLES RUIZ, Gonzalo | - |
dc.contributor.author | VANHOOF, Koen | - |
dc.contributor.author | Arco, Leticia | - |
dc.date.accessioned | 2020-10-26T13:10:19Z | - |
dc.date.available | 2020-10-26T13:10:19Z | - |
dc.date.issued | 2019 | - |
dc.date.submitted | 2020-10-13T23:45:12Z | - |
dc.identifier.citation | Proceedings 2nd International Conference of Information Processing CIPI - IOTAI 2019, | - |
dc.identifier.isbn | 978-959-312-372-3 | - |
dc.identifier.uri | http://hdl.handle.net/1942/32525 | - |
dc.description.abstract | Community detection is one of the most relevant features of network-based models. Although community detection algorithms are capable of handling large datasets, this does not imply that there is no limit. When dealing with problems arising from applications such as customer purchasing interactions, building the network for a dataset comprised of millions of transactions will lead to some computational issues. In this paper, we tackle that computation challenge by using a parallel approach for network representations in presence of massive amount of purchasing data. The modularity measure is adopted to evaluate the convergence of community detection algorithms from the computed customer networks using multiple instance similarity functions and thresholding approaches. Numerical simulations using a real-world problem show the advantages of the proposed parallel solution. | - |
dc.language.iso | en | - |
dc.title | Parallel approach for network construction from large purchasing collections | - |
dc.type | Proceedings Paper | - |
local.bibliographicCitation.conferencedate | 06/24/2019 to 06/28/2019 | - |
local.bibliographicCitation.conferencename | International Workshop of Internet of Things Artificial Intelligence | - |
local.bibliographicCitation.conferenceplace | Cayos de Villa Clara, Cuba | - |
local.format.pages | 8 | - |
local.bibliographicCitation.jcat | C1 | - |
local.type.refereed | Refereed | - |
local.type.specified | Proceedings Paper | - |
dc.identifier.url | https://convencion.uclv.cu/event/2nd-international-conference-of-information-processing-cipi-iotai-2019-international-workshop-of-internet-of-things-artificial-intelligence-2019-06-24-2019-06-29-37/track/parallel-approach-for-network-construction-from-large-purchasing-collections-1163 | - |
local.provider.type | - | |
local.bibliographicCitation.btitle | Proceedings 2nd International Conference of Information Processing CIPI - IOTAI 2019 | - |
local.uhasselt.uhpub | yes | - |
item.validation | vabb 2023 | - |
item.fullcitation | FUENTES HERRERA, Ivett; NAPOLES RUIZ, Gonzalo; VANHOOF, Koen & Arco, Leticia (2019) Parallel approach for network construction from large purchasing collections. In: Proceedings 2nd International Conference of Information Processing CIPI - IOTAI 2019,. | - |
item.contributor | FUENTES HERRERA, Ivett | - |
item.contributor | NAPOLES RUIZ, Gonzalo | - |
item.contributor | VANHOOF, Koen | - |
item.contributor | Arco, Leticia | - |
item.accessRights | Restricted Access | - |
item.fulltext | With Fulltext | - |
Appears in Collections: | Research publications |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
Parallel approach for network construction from large purchasing collections- paper.pdf Restricted Access | Published version | 972.83 kB | Adobe PDF | View/Open Request a copy |
Page view(s)
50
checked on Sep 6, 2022
Download(s)
6
checked on Sep 6, 2022
Google ScholarTM
Check
Altmetric
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.