Extraction of valuable data from extensive datasets is a standout amongst the most vital
exploration issues. Association rule mining is one of the highly used methods for this …

Constraint programming (CP) and propositional satisfiability (SAT) based framework for
modeling and solving pattern mining tasks has gained a considerable audience in recent …

The computational complexity, huge memory space requirement, and time-consuming
nature of frequent pattern mining process are the most important motivations for distribution …

In the current era of big data, high volumes of a wide variety of data of different veracity can
be easily generated or collected at a high velocity from rich sources of data include devices …

Security and privacy has emerged to be a serious concern in which the business
professional don't desire to share their classified transaction data. In the earlier work …

Data mining and knowledge discovery has emerged to extract useful, interesting, and
unknown patterns and knowledge from huge amount of database. Big data is the term used …

With the development the information age, large-scale database system is popularized in
our daily life. Data mining is a process of fetching valuable and important information …

Association Rule Mining (ARM) is an important machine learning technique because it can
find associations or relationships between data items in large datasets. Different association …

In recent years, communication technology and Internet technology are developing rapidly.
In this context, people pay more and more attention to the importance of data, especially the …

We live in a world full of networks, instinctively and inevitably. Human beings by nature are
social animals. In modern life, we can extend our social relationships to others in any place …