Some Novelties in Classification and Analysis of Facebook data – A Decision Tree based Approach
Main Article Content
Abstract
As of 2020 statistics, Facebook is the huge social media platform universally having 2.6 billion monthly active users all over and generates data in petabytes every day. Hence Knowledge Discovery from such a huge data is very essential. At present days, Knowledge Discovery is a significant research area. To get the ultimate answers for many research questions in data mining, the final hope is knowledge that can be achieved from different forms of data. If the data has known associations or the data is labelled, supervised approach i.e., Classification method can be used. To accomplish this task, we propose a novel approach to classify the Facebook data at most accuracy.
Downloads
Metrics
Article Details
Licensing
TURCOMAT publishes articles under the Creative Commons Attribution 4.0 International License (CC BY 4.0). This licensing allows for any use of the work, provided the original author(s) and source are credited, thereby facilitating the free exchange and use of research for the advancement of knowledge.
Detailed Licensing Terms
Attribution (BY): Users must give appropriate credit, provide a link to the license, and indicate if changes were made. Users may do so in any reasonable manner, but not in any way that suggests the licensor endorses them or their use.
No Additional Restrictions: Users may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.