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Attribute reduction, as a part of preprocesses, plays an important role in data mining. Privacy ought to be preserved while conducting attribute reduction on distributed data. However, to the best of our knowledge, there exists no algorithm about attribute reduction for the present. In this paper, we represent two privacy preserving attribute reduction(More)
Steganography is the science of communicating secret information which no one apart from the intended recipient can be aware of. Most researchers focus on the medium of image, video and audio, while text is paid less attention, especially PowerPoint documents due to some shortcomings. In this paper, a new steganography method which hides information via(More)
Secure Multi-party Computation (SMC) deals with the problem of secure computation among participants who are not trusted by others. Privacy Preserving Computational Geometry is a special area in SMC and has been applied to various of areas such as military, commerce and governments et al. In this paper, we will propose an efficient secure protocol, which is(More)
Secure Multi-party Computation (SMC) is dedicated to solve trust problems in cooperative computing with each participant’s private data. Privacy Preserving Computational Geometry (PPCG) is a special area in SMC and is being widely used. This paper investigates the problem of judging whether a point is in a convex hull or not. We firstly present a(More)
—Outlier detection has numerous useful applications such as detecting criminal activities in electronic commerce, terrorism prediction and exceptional cases in many areas. Privacy and security concerns, however, arise while performing mining for outliers on distributed data. In this paper, we present two privacy preserving distance-based outlier detection(More)
OBJECTIVE The aim of this meta-analysis was to evaluate the efficacy and safety of levomilnacipran extended-release (ER) in the treatment of major depressive disorder (MDD). METHODS Randomized controlled trials were searched by electronic databases. Unpublished data were also searched by the relevant websites. Weighted mean difference (WMD) and risk ratio(More)
Developing an easily handled and cost-effective phosphate absorbent is crucial for the control of water eutrophication. In this study, a naturally occurring, calcium-rich sepiolite (NOCS) was evaluated for its feasibility as a phosphate absorbent candidate. Batch studies showed that phosphate sorption on NOCS followed a stepwise isotherm for concentrations(More)