Imagine numerous clients, each with personal data; individual inputs are severely corrupt,
and a server only concerns the collective, statistically essential facets of this data. In several …

In the present scenario, due to regulations of data privacy, sharing of data with other
organization for research or any medical purpose becomes a big hindrance for different …

Itemset mining is a popular data mining technique for extracting interesting and valuable
information from large datasets. However, since datasets contain sensitive private data, it is …

With the rising usage of technology, a tremendous volume of data is being produced in the
current scenario. This data contains a lot of personal data and may be given to third parties …

Nowadays, enormous amounts of data are produced every second. These data also contain
private information from sources including media platforms, the banking sector, finance …

Abstract Network Intrusion Detection Systems (NIDS) are a difficult task for determining in
any managerial information system or IT sectors, if a user is a normal user or an attacker …

With the rising usage of technology, a tremendous volume of data is being produced in the
current scenario. is data contains a lot of personal data and may be given to third parties …

Cloud computing offers services on demand over the Internet with the help of a sizable
amount of virtual storage. Cloud computing has become increasingly integrated with …

Abstract This work uses Machine Learning (ML) Techniques to enhance the concert of
Cardiovascular Disease (CVD) prediction on the OHSUMED-F facts set. The OHSUMED-F …