The success of data mining relies on the availability of high quality data. To ensure quality data mining, effective information sharing between organizations becomes a vital requirement in today's society. Since data mining often involves sensitive information of individuals, the public has expressed a deep concern about their privacy.…

The phenomenological study explored the lived experiences and perceptions of a purposive sample of 20 IT professionals (managers, engineers, administrators, and analysts) in the state of Virginia, Texas, and Washington DC. The focus of this research study was to learn the perceptions of IT professionals who are or once were in a decision-making…

A basic and classical assumption in the machine learning research area is "randomness assumption" (also known as i.i.d assumption), which states that data are assumed to be independent and identically generated by some known or unknown distribution. This assumption, which is the foundation of most existing approaches in the literature, simplifies…