Recently, data management and processing for wireless sensor networks (WSNs) has
become a topic of active research in several fields of computer science, such as the …

Recently, high utility pattern (HUP) mining is one of the most important research issues in
data mining due to its ability to consider the nonbinary frequency values of items in …

Software developers are often faced with modification tasks that involve source which is
spread across a code base. Some dependencies between source code, such as those …

More and more weakly structured, and irregular data sources are becoming available every
day. The schema of these sources is useful for a number of tasks, such as query answering …

Many frequent pattern mining algorithms find patterns from traditional transaction databases,
in which the content of each transaction—namely, items—is definitely known and precise …

The increase in mortality rate due to life-threatening diseases has become an issue of
concern in today's world. Early detection and diagnosis of diseases thus becomes …

Mining association rules with multiple minimum supports is an important generalization of
the association-rule-mining problem, which was recently proposed by Liu et al. Instead of …

Since its introduction, frequent-pattern mining has been the subject of numerous studies,
including incremental updating. Many existing incremental mining algorithms are Apriori …

The FP-growth algorithm using the FP-tree has been widely studied for frequent pattern
mining because it can dramatically improve performance compared to the candidate …

The data handled in emerging applications like location-based services, sensor monitoring
systems, and data integration, are often inexact in nature. In this paper, we study the …