Predicting on-time delivery lpi for outbound logistics using supervised machine learning models /
Saved in:
| Main Author: | |
|---|---|
| Format: | Book |
| Language: | English |
| Published: |
2022.
|
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| LEADER | 00584nam a2200181 4500 | ||
|---|---|---|---|
| 001 | u1164230 | ||
| 003 | SIRSI | ||
| 005 | 202308231503 | ||
| 008 | 230823n2022 my m 000 0 eng u | ||
| 040 | |a UMM |e rda | ||
| 100 | 0 | |a Zuharabih Sulaiman. | |
| 245 | 1 | 0 | |a Predicting on-time delivery lpi for outbound logistics using supervised machine learning models / |c Zuharabih Sulaiman. |
| 264 | 1 | |c 2022. | |
| 336 | |a text$2rdacontent | ||
| 337 | |a unmediated$2rdamedia | ||
| 338 | |a volume$2rdacarrier | ||
| 596 | |a 1 | ||
| 999 | |a XX(1164230.1) |w LC |c 1 |i 1164230-1001 |l INPROCESS |m P01UTAMA |r Y |s Y |t TESIS |u 23/8/2023 | ||