| Title | A Multiple Objective PSO-Based Approach for Data Sanitization |
| Publication Type | Conference Paper |
| Year of Publication | 2018 |
| Authors | Lin, Jerry Chun-Wei, Zhang, Yuyu, Chen, Chun-Hao, Wu, Jimmy Ming-Tai, Chen, Chien-Ming, Hong, Tzung-Pei |
| Conference Name | 2018 Conference on Technologies and Applications of Artificial Intelligence (TAAI) |
| Date Published | nov |
| Keywords | compositionality, data mining, Data Sanitization, genetic algorithms, grid-based algorithm, Human Behavior, Itemsets, multiobjective particle swarm optimization-based framework, multiple objective, multiple objective PSO-based approach, nondominated solutions, Optimization, particle swarm optimisation, particle swarm optimization, privacy, privacy-preserving and security, probability, pubcrawl, resilience, security, Task Analysis |
| Abstract | 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. |
| DOI | 10.1109/TAAI.2018.00039 |
| Citation Key | lin_multiple_2018 |
A Multiple Objective PSO-Based Approach for Data Sanitization