With the ever-increasing requirement of storage and computation resources, it is unrealistic
for local devices (with limited sources) to implement large-scale data processing. Therefore …

As there is a continuous delivery of big data, the researchers are showing interest in the
applications of cloud computing concerning privacy, and security. On the other hand, many …

Smart grids introduce many outstanding security and privacy issues, especially when smart
meters are connected to public networks, creating an Internet of things in which customer …

There is incredible volume of data that is generated at exponential rate by various
organizations such as hospitals, insurance companies, banks, stock market etc. It is done by …

In association rule mining, the process of extracting relations from a dataset often requires
the application of more than one quality measure and, in many cases, such measures …

With recent trends in big data and cloud computing, data mining has also attracted
considerable interest due to its potential to deal with distributed data in the cloud. However …

Rule-based learning involves using specific rules to categorize or identify datasets. This
study introduces a newapproach called homomorphic encryption-based rule induction …

Nowadays, data from various sources are gathered and stored in databases. The collection
of the data does not give a significant impact unless the database owner conducts certain …

The extraction of patterns and rules from large distributed databases through existing
Distributed Association Rule Mining (DARM) systems is still faced with enormous challenges …

Due to the many advantages offered by the cloud computing paradigm, it is fast becoming
an enabling technology for many organizations, and even individual users. Flexibility and …