A Skyline-Based Decision Boundary Estimation Method for Binominal Classification in Big Data
One of the most common tasks nowadays in big data environments is the need to classify large amounts of data. There are numerous classification models designed to perform best in different environments and datasets, each with its advantages and disadvantages. However, when dealing with big data, the...
Main Authors: | Christos Kalyvas, Manolis Maragoudakis |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2020-09-01
|
Series: | Computation |
Subjects: | |
Online Access: | https://www.mdpi.com/2079-3197/8/3/80 |
Similar Items
-
CSQUiD: an index and non-probability framework for constrained skyline query processing over uncertain data
by: Ma'aruf Mohammed Lawal, et al.
Published: (2024-09-01) -
Optimization of Dominance Testing in Skyline Queries Using Decision Trees
by: Jong-Hyeok Choi, et al.
Published: (2021-01-01) -
Mining area skyline objects from map-based big data using Apache Spark framework
by: Chen Li, et al.
Published: (2025-03-01) -
Skyline query under multidimensional incomplete data based on classification tree
by: Dengke Yuan, et al.
Published: (2024-05-01) -
Efficient Continuous Skyline Query Processing in Wireless Sensor Networks
by: Yingyuan Xiao, et al.
Published: (2019-06-01)