| 1. Identity statement | |
| Reference Type | Journal Article |
| Site | plutao.sid.inpe.br |
| Holder Code | isadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S |
| Identifier | 8JMKD3MGP3W/3UGGK59 |
| Repository | sid.inpe.br/plutao/2019/12.04.10.31.28 (restricted access) |
| Last Update | 2019:12.05.17.14.02 (UTC) lattes |
| Metadata Repository | sid.inpe.br/plutao/2019/12.04.10.31.29 |
| Metadata Last Update | 2020:01.07.18.01.14 (UTC) administrator |
| DOI | 10.4236/jsea.2019.125010 |
| ISSN | 1945-3116 |
| Label | lattes: 2893215729403643 2 DiPaoloGoNePaViSa:2019:DaMiSp |
| Citation Key | DiPaoloGoFePaViSa:2019:DaMiSp |
| Title | Data mining of spatio-temporal variability of chlorophyll-a concentrations in a portion of the Western Atlantic with low performance hardware  |
| Year | 2019 |
| Access Date | 2024, Apr. 19 |
| Type of Work | journal article |
| Secondary Type | PRE PI |
| Number of Files | 1 |
| Size | 2693 KiB |
| 2. Context | |
| Author | 1 Di Paolo, Italo F. 2 Gouveia, Nelson de Almeida 3 Ferreira Neto, Luiz C. 4 Paes, Eduardo T. 5 Vijaykumar, Nandamudi Lankalapalli 6 Santana, Ádamo L. |
| Resume Identifier | 1 2 3 4 5 8JMKD3MGP5W/3C9JHTU |
| ORCID | 1 0000-0001-6968-6571 2 0000-0002-3868-1919 3 4 0000-0002-9429-2598 5 6 0000-0003-0745-8519 |
| Group | 1 2 SER-SRE-SESPG-INPE-MCTIC-GOV-BR 3 4 5 LABAC-COCTE-INPE-MCTIC-GOV-BR |
| Affiliation | 1 Universidade Estadual do Pará (UEPA) 2 Instituto Nacional de Pesquisas Espaciais (INPE) 3 Universidade Federal do Pará (UFPA) 4 Universidade Federal Rural da Amazônia (UFRA) 5 Instituto Nacional de Pesquisas Espaciais (INPE) 6 Universidade Federal do Pará (UFPA) |
| Author e-Mail Address | 1 itflexa@uepa.br 2 nelson.gouveia@inpe.br 3 luizcfl14@gmail.com 4 eduardo.paes@ufra.edu.br 5 vijay.nl@inpe.br 6 adamo@ufpa.br |
| Journal | Journal of Software Engineering and Applications |
| Volume | 12 |
| Number | 5 |
| Pages | 149-170 |
| History (UTC) | 2019-12-05 17:14:04 :: lattes -> administrator :: 2019 2020-01-07 18:01:14 :: administrator -> simone :: 2019 |
| 3. Content and structure | |
| Is the master or a copy? | is the master |
| Content Stage | completed |
| Transferable | 1 |
| Content Type | External Contribution |
| Version Type | publisher |
| Keywords | Data Mining Clustering Chlorophyll Atlantic Missing Data Small Hardware |
| Abstract | The contemporary scientific literature that deals with the dynamics of marine chlorophyll-a concentration is already customarily employing data mining techniques in small geographic areas or regional samples. However, there is little focus on the issue of missing data related to chlorophyll-a concentration estimated by remote sensors. Intending to provide greater scope to the identification of the spatiotemporal distribution patterns of marine chlorophyll-a concentrations, and to improve the reliability of results, this study presents a data mining approach to cluster similar chlorophyll-a concentration behaviors while implementing an iterative spatiotemporal interpolation technique for missing data inference. Although some dynamic behaviors of said concentrations in specific areas are already known by specialists, systematic studies in large geographical areas are still scarce due to the computational complexity involved. For this reason, this study analyzed 18 years of NASA satellite observations in one portion of the Western Atlantic Ocean, totaling more than 60 million records. Additionally, performance tests were carried out in low-cost computer systems to check the accessibility of the proposal implemented for use in computational structures of different sizes. The approach was able to identify patterns with high spatial resolution, accuracy and reliability, rendered in low-cost computers even with large volumes of data, generating new and consistent patterns of spatiotemporal variability. Thus, it opens up new possibilities for data mining research on a global scale in this field of application. |
| Area | COMP |
| Arrangement 1 | urlib.net > BDMCI > Fonds > Produção anterior à 2021 > LABAC > Data mining of... |
| Arrangement 2 | urlib.net > BDMCI > Fonds > Produção pgr ATUAIS > SER > Data mining of... |
| doc Directory Content | access |
| source Directory Content | there are no files |
| agreement Directory Content | there are no files |
| 4. Conditions of access and use | |
| Language | pt |
| Target File | paolo_data.pdf |
| User Group | lattes |
| Reader Group | administrator lattes |
| Visibility | shown |
| Read Permission | deny from all and allow from 150.163 |
| Update Permission | not transferred |
| 5. Allied materials | |
| Next Higher Units | 8JMKD3MGPCW/3ESGTTP 8JMKD3MGPCW/3F3NU5S |
| Citing Item List | sid.inpe.br/bibdigital/2013/09.22.23.14 1 |
| Host Collection | dpi.inpe.br/plutao@80/2008/08.19.15.01 |
| 6. Notes | |
| Empty Fields | alternatejournal archivingpolicy archivist callnumber copyholder copyright creatorhistory descriptionlevel dissemination e-mailaddress format isbn lineage mark mirrorrepository month nextedition notes parameterlist parentrepositories previousedition previouslowerunit progress project rightsholder schedulinginformation secondarydate secondarykey secondarymark session shorttitle sponsor subject tertiarymark tertiarytype url |
| 7. Description control | |
| e-Mail (login) | simone |
| update | |