Privacy preserving and fast decision for novelty detection using support vector data description
type: Item
instance of: scholarly article
title: Privacy preserving and fast decision for novelty detection using support vector data description
zbMATH Open document ID: 1382.68194
author: Wenjun Hu
author: Yong Liu
author: Wenhao Ying
author: Shitong Wang
author: Fu-lai Chung
published in: Soft Computing
publication date: 2018-03-26T00:00:00Z
Mathematics Subject Classification ID: 68T05
zbMATH DE Number: 6852780
zbMATH Keywords: novelty detection
zbMATH Keywords: support vector data description (SVDD)
zbMATH Keywords: decision complexity
zbMATH Keywords: kernelized sphere
zbMATH Keywords: integrated squared error (ISE)
zbMATH Keywords: pre-image of sphere center
describes a project that uses: UCI-ml
describes a project that uses: FRSDE
MaRDI profile type: Publication
full work available at URL: s00500-014-1331-8
OpenAlex ID: W2048629639
cites work: A Parallel Mixture of SVMs for Very Large Scale Problems
cites work: Support-vector networks
cites work: FRSDE: Fast reduced set density estimator using minimal enclosing ball approximation
cites work: The support vector machine based on intuitionistic fuzzy number and kernel function
cites work: (t,k)-Diagnosis for Component-Composition Graphs under the MM* Model
cites work: k-ANONYMITY: A MODEL FOR PROTECTING PRIVACY
cites work: Reidentification and \(k\)-anonymity: a model for disclosure risk in graphs
cites work: Support vector data description
cites work: Q3093255
DOI: 10.1007/S00500-014-1331-8
description: scientific article; zbMATH DE number 6852780