Data mining (DM) and machine learning (ML) applications in medical diagnostic systems
are budding. Data privacy is essential in these systems as healthcare data are highly …

With the dramatic improvements in both the capability to collect personal data and the
capability to analyze large amounts of data, increasingly sophisticated and personal insights …

Internal attacks are of a huge concern, because they are usually delicately masqueraded
under harmless-looking activities, which are very difficult to detect. Machine learning …

Cloud computing plays an essential role as a source for outsourcing data to perform mining
operations or other data processing, especially for data owners who do not have sufficient …

Bike sharing programs are eco-friendly transportation systems that are widespread in smart
city environments. In this paper, we study the problem of privacy-preserving bike sharing …

In the recently age, the volume of information is growing exponentially. This data can be
used in several fields such as business, healthcare, cyber security, etc. Extracting useful …

The recent advancement in technology catalyse the processing of vast amount of data. It
leads to the purpose of extracting and storing those data in an electronic form. Data mining …

Text recognition is a technique that recognizes text from the paper document in the desired
format (such as. doc or. txt). The text recognition process involves several steps, including …

Organisations rely on analytical data to improve decision-making and service delivery, often
sharing this data with external entities, such as research institutes, to acquire collaboration …

In the field of data science, privacy-preserving methods are essential to guaranteeing the
moral and secure use of data. This extensive overview study offers an in-depth examination …