Health care information has great potential for improving the health care system and also
providing fast and accurate outcomes for patients, predicting disease outbreaks, gaining …

New technology is needed to meet the latency and bandwidth issues present in cloud
computing architecture specially to support the currency of 5G networks. Accordingly, mobile …

Data quality management, especially data cleansing, has been extensively studied for many
years in the areas of data management and visual analytics. In the paper, we first review and …

随着移动互联网, 云计算和大数据技术的广泛应用, 电商, 搜索, 社交网络等服务在提供便利的
同时, 大数据分析使用户隐私泄露的威胁日益凸显, 不同系统隐私保护策略和能力的差异性使 …

Data mining is under attack from privacy advocates because of a misunderstanding about
what it actually is and a valid concern about how it is generally done. This article shows how …

Sharing data among organizations often leads to mutual benefit. Recent technology in data
mining has enabled efficient extraction of knowledge from large databases. This, however …

Data sanitization is a process that is used to promote sharing of transactional databases
among organizations while alleviating concerns of individual organizations by preserving …

During the whole process of data mining (from data collection to knowledge discovery)
various sensitive data get exposed to several parties including data collectors, cleaners …

In this paper, we are proposing a new algorithmic approach for sanitizing raw data from
sensitive knowledge in the context of mining of association rules. The new approach (a) …

In this paper, we propose a novel, exact border-based approach that provides an optimal
solution for the hiding of sensitive frequent itemsets by (i) minimally extending the original …