A Multiple Objective PSO-based Approach for Data Sanitization

被引：3

作者：

Lin, Jerry Chun-Wei ^{[1
,2
]}

Zhang, Yuyu ^{[1
]}

Chen, Chun-Hao ^{[3
]}

Wu, Jimmy Ming-Tai ^{[4
]}

Chen, Chien-Ming ^{[1
]}

Hong, Tzung-Pei ^{[5
]}

机构：

[1] Harbin Inst Technol Shenzhen, Shenzhen, Peoples R China

[2] Western Norway Univ Appl Sci, Bergen, Norway

[3] Tamkang Univ, New Taipei, Taiwan

[4] Shandong Univ Technol, Zibo, Shandong, Peoples R China

[5] Natl Univ Kaohsiung, Kaohsiung, Taiwan

来源：

2018 CONFERENCE ON TECHNOLOGIES AND APPLICATIONS OF ARTIFICIAL INTELLIGENCE (TAAI) | 2018年

基金：

中国国家自然科学基金;

关键词：

optimization; privacy-preserving and security; data sanitization; multiple objective; ALGORITHMS;

D O I：

10.1109/TAAI.2018.00039

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In this paper, a multi-objective particle swarm optimization (MOPSO)-based framework is presented to find the multiple solutions rather than a single one. The presented grid-based algorithm is used to assign the probability of the non-dominated solution for next iteration. Based on the designed algorithm, it is unnecessary to pre-define the weights of the side effects for evaluation but the non-dominated solutions can be discovered as an alternative way for data sanitization. Extensive experiments are carried on two datasets to show that the designed grid-based algorithm achieves good performance than the traditional single-objective evolution algorithms.

引用

页码：148 / 151

页数：4

共 50 条

[1] PSO-Based Multiple People Tracking
Chen Ching-Han
Yan Miao-Chun
DIGITAL INFORMATION AND COMMUNICATION TECHNOLOGY AND ITS APPLICATIONS, PT I, 2011, 166 : 267 - 276
[2] Services Derivation From Business Process: A PSO-based Multi-Objective Approach
Chergui, Mohamed El Amine
Benslimane, Sidi Mohamed
2014 INTERNATIONAL CONFERENCE ON MULTIMEDIA COMPUTING AND SYSTEMS (ICMCS), 2014, : 588 - 594
[3] PSO-RBFNN: A PSO-Based Clustering Approach for RBFNN Design to Classify Disease Data
Cheruku, Ramalingaswamy
Edla, Damodar Reddy
Kuppili, Venkatanareshbabu
Dharavath, Ramesh
ARTIFICIAL NEURAL NETWORKS AND MACHINE LEARNING, PT II, 2017, 10614 : 411 - 419
[4] PSO-MoSR: a PSO-based multi-objective software remodularisation
Prajapati, Amarjeet
Kumar, Sanjeev
INTERNATIONAL JOURNAL OF BIO-INSPIRED COMPUTATION, 2020, 15 (04) : 254 - 263
[5] PSO-based approach for neural network ensembles
Fu, Qiang
Hu, Shang-Xu
Zhao, Sheng-Ying
Zhejiang Daxue Xuebao (Gongxue Ban)/Journal of Zhejiang University (Engineering Science), 2004, 38 (12): : 1596 - 1600
[6] PSO-based Constrained Imbalanced Data Classification
Hlosta, Martin
Striz, Rostislav
Zendulka, Jaroslav
Hruska, Tomas
INFORMATICS 2013: PROCEEDINGS OF THE TWELFTH INTERNATIONAL CONFERENCE ON INFORMATICS, 2013, : 234 - 239
[7] A PSO-Based Approach for Pathway Marker Identification From Gene Expression Data
Mandal, Monalisa
Mondal, Jyotirmay
Mukhopadhyay, Anirban
IEEE TRANSACTIONS ON NANOBIOSCIENCE, 2015, 14 (06) : 591 - 597
[8] Feature selection for entity extraction from multiple biomedical corpora: A PSO-based approach
Yadav, Shweta
Ekbal, Asif
Saha, Sriparna
SOFT COMPUTING, 2018, 22 (20) : 6881 - 6904
[9] Feature selection for entity extraction from multiple biomedical corpora: A PSO-based approach
Shweta Yadav
Asif Ekbal
Sriparna Saha
Soft Computing, 2018, 22 : 6881 - 6904
[10] A PSO-based Approach for Tuning of PD Controller of a Hexacopter
Maniscalco, Vincenzo
Lombardo, Francesco
INTERNATIONAL CONFERENCE OF COMPUTATIONAL METHODS IN SCIENCES AND ENGINEERING 2015 (ICCMSE 2015), 2015, 1702

← 1 2 3 4 5 →