مشروع البحث: Boosting in Social Networks Circles Analysis
dc.contributor.advisor | Dr. Yasser Fouad Mahmoud Hassan | |
dc.contributor.advisor | Dr. Ashraf Saeed Ahmed El Sayed | |
dc.date.accessioned | 2025-02-04T08:55:06Z | |
dc.date.available | 2025-02-04T08:55:06Z | |
dc.description | Social network is considered a positive change in our society where the volume of information generated by huge number of social networks individuals' are increasing every day. Social network is a social structure of individuals called “nodes” who are connected by one or many specific kinds of inter connection such as common interest, kinship, friendship, knowledge and relationships of belief | |
dc.description.abstract | Machine learning is a broad sub field in artificial intelligence. It involves developing algorithms and techniques which allow computers to learn. Boosting is one of the machine learning techniques that creates a highly accurate prediction rule from relatively weak and inaccurate rules. The boosting which is an ensemble technique learns many weak hypotheses by adaptive control for probability distribution of data occurrence and combine them to learn a single strong hypothesis. | |
dc.identifier | 437 | |
dc.identifier.uri | https://dspace.academy.edu.ly/handle/123456789/1310 | |
dc.subject | Circles Analysis | |
dc.title | Boosting in Social Networks Circles Analysis | |
dspace.entity.type | Project | |
project.endDate | 2019 | |
project.funder.name | علوم الحاسوب | |
project.investigator | انتصار محمد حسين | |
project.startDate | 2018 | |
relation.isOrgUnitOfProject | 784d19bf-029a-47b8-b883-c9daefb34588 | |
relation.isOrgUnitOfProject.latestForDiscovery | 784d19bf-029a-47b8-b883-c9daefb34588 |