A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf
.
Data Dissemination Techniques using DBSCAN and DD-Rtree for Spatial Data Mining
2020
International journal of recent technology and engineering
In today's scenario where data volumes are growing on enormous speed over cloud or internet, we want to limit this growing data size. This can be achieved by data processing methods where data processing can be done in parallel. To make the data processing done in parallel, various clustering sampling methodologies are in use such as Slink, DBSCAN, and Optics and so on. The power accomplished by various methodologies which already exist will be focusing to the preservation of three-dimensional
doi:10.35940/ijrte.e6578.018520
fatcat:rfh4au4ksfcyzgojzlqedserse