مشروع البحث:
Boosting in Social Networks Circles Analysis

dc.contributor.advisorDr. Yasser Fouad Mahmoud Hassan
dc.contributor.advisorDr. Ashraf Saeed Ahmed El Sayed
dc.date.accessioned2025-02-04T08:55:06Z
dc.date.available2025-02-04T08:55:06Z
dc.descriptionSocial 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.abstractMachine 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.identifier437
dc.identifier.urihttps://dspace.academy.edu.ly/handle/123456789/1310
dc.subjectCircles Analysis
dc.titleBoosting in Social Networks Circles Analysis
dspace.entity.typeProject
project.endDate2019
project.funder.nameعلوم الحاسوب
project.investigatorانتصار محمد حسين
project.startDate2018
relation.isOrgUnitOfProject784d19bf-029a-47b8-b883-c9daefb34588
relation.isOrgUnitOfProject.latestForDiscovery784d19bf-029a-47b8-b883-c9daefb34588
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