This study investigates existing input privacy-preserving data mining (PPDM) methods and
privacy-preserving data stream mining methods (PPDSM), including their strengths and …

A brain–computer interface (BCI) establishes a direct communication pathway between the
human brain and a computer. It has been widely used in medical diagnosis, rehabilitation …

With the joint advancement in areas such as pervasive neural data sensing, neural
computing, neuromodulation and artificial intelligence, neural interface has become a …

Dimensionality Reduction is a commonly used element in a machine learning pipeline that
helps to extract important features from high-dimensional data. In this work, we explore an …

Distributed data analysis without revealing the individual data has recently attracted
significant attention in several applications. A collaborative data analysis through sharing …

Nowadays, as data becomes increasingly complex and distributed, data analyses often
involve several related datasets that are stored on different servers and probably owned by …

The k-nearest neighbor (kNN) classification has been widely adopted in data mining
applications. In the age of big data, kNN classification process has to be outsourced to the …

In the era of technology advancement, knowledge extraction from large amount of data is
very much important task. The process of data mining is applied to get the useful information …

The process of knowledge extraction from large datasets is the primary task in Data Mining.
Data warehouse is one of the central repositories of data. When data is available only at a …

Data perturbation aims to disguise original data values so the confidential information is kept
safe and the disclosure risk is minimized. In this article, we exploit the characteristics of …