A neighbourhood undersampling stacked ensemble with H-measure maximising meta-learner for imbalanced classification /
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| Main Author: | |
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| Format: | Thesis Book |
| Language: | English |
| Published: |
2021.
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| LEADER | 01278nam a2200325 i 4500 | ||
|---|---|---|---|
| 001 | u1158294 | ||
| 003 | SIRSI | ||
| 005 | 202204061418 | ||
| 008 | 220406s2021 my a m 000 0 eng | ||
| 040 | |a UMM |e rda | ||
| 090 | |a QA76 |b UMP 2021 Sen | ||
| 100 | 1 | |a Seng, Zian, |e author. | |
| 245 | 1 | 2 | |a A neighbourhood undersampling stacked ensemble with H-measure maximising meta-learner for imbalanced classification / |c Seng Zian. |
| 264 | 1 | |c 2021. | |
| 300 | |a xviii, 198 leaves : |b illustrations ; |c 30 cm | ||
| 336 | |a text |2 rdacontent | ||
| 337 | |a unmediated |2 rdamedia | ||
| 337 | |a computer |2 rdamedia | ||
| 338 | |a volume |2 rdacarrier | ||
| 338 | |a computer |2 rdamedia | ||
| 502 | |b Ph.D. |c Jabatan Sistem Maklumat, Fakulti Sains Komputer dan Teknologi Maklumat, Universiti Malaya |d 2021. | ||
| 504 | |a Bibliography: leaves 172-197. | ||
| 530 | |a Also issued in CD. | ||
| 650 | 0 | |a Machine learning. | |
| 650 | 0 | |a Data mining. | |
| 650 | 0 | |a Artificial intelligence. | |
| 710 | 2 | |a Universiti Malaya. |b Jabatan Sistem Maklumat, |e degree granting institution. | |
| 900 | |a US | ||
| 596 | |a 1 | ||
| 999 | |a QA76 UMP 2021 SEN |w LC |c 1 |i A517629615 |f 26/1/2023 |g 1 |l STACKS |m P01UTAMA |r Y |s Y |t TESIS |u 3/10/2022 |1 STEM |o .PUBLIC. Embargoed until 31 July 2023 - (Released to stack 8-Ogos-2023) |o .STAFF. | ||