Browsing Faculty of Computer Science Collection by Subject "feature selection"

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Clustering Technique using Concepts for Web Documents

Tar, Hmway Hmway; Nyunt, Thi Thi Soe (Fifth Local Conference on Parallel and Soft Computing, 2010-12-16)

Web document clustering becomes an essential technology with the popularity of the Internet. That also means that fast and high-quality document clustering techniques play core topics. One of the main issues for ...
Real-time Big Data Analytics for Feature Selection on Apache Spark

Thant, Lwin May; Phyu, Sabai (Proceedings of the 10th International Workshop on Computer Science and Engineering (WCSE 2020), 2020-02-28)

Real-time data analysis is a key research in many domains. It can be applied to pre-existing or prescriptive models. The effective result is that monitor the account and review on a real-time action. Apache spark machine ...

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