مشروع البحث: FEATURE WEIGHTING METHOD USING MIN- MAX NORMALIZATION WITH CORRELATION COEFFICIENT TO FEATURE WEIGHTING METHOD USING MIN- MAX NORMALIZATION WITH CORRELATION COEFFICIENT TO IMPROVE THE IMPUTATION
| dc.contributor.advisor | أ.د. زالند عثمان | |
| dc.date.accessioned | 2024-12-11T09:52:09Z | |
| dc.date.available | 2024-12-11T09:52:09Z | |
| dc.description | , the main aim is to propose a new approach to estimating the missing values in numerical datasets. The improvement in estimating missing values was obtained by proposing a weighting strategy to propose a new imputation method to deal with missing value | |
| dc.description.abstract | Preprocessing is one of the essential stages for improving data quality. This stage is critical because it can significantly impact the quality and usefulness of the final results. Increasing data quality naturally enhances results. Many steps have been included in the stage, such as feature rescaling, data cleaning, feature weighting, and feature selection. One of the impacts of missing data is finding and extracting the hidden information and facts about the data and the features to exploit them to use the information in all previous tasks | |
| dc.identifier | 229 | |
| dc.identifier.uri | https://dspace.academy.edu.ly/handle/123456789/804 | |
| dc.subject | IMPROVE THE IMPUTATION | |
| dc.title | FEATURE WEIGHTING METHOD USING MIN- MAX NORMALIZATION WITH CORRELATION COEFFICIENT TO FEATURE WEIGHTING METHOD USING MIN- MAX NORMALIZATION WITH CORRELATION COEFFICIENT TO IMPROVE THE IMPUTATION | |
| dspace.entity.type | Project | |
| project.endDate | 2023 | |
| project.funder.name | علوم الحاسوب | |
| project.investigator | محمد احمد محمد | |
| project.startDate | 2022 | |
| relation.isOrgUnitOfProject | 784d19bf-029a-47b8-b883-c9daefb34588 | |
| relation.isOrgUnitOfProject.latestForDiscovery | 784d19bf-029a-47b8-b883-c9daefb34588 |