Recent advancements in high-speed communications and high-capacity computing systems
have contributed to major growth in the data volume of databases. Data mining is a crucial …

There have been many attempts for clustering categorical data such as market basket
dataset. However, most of categorical clustering approaches belong to partitional clustering …

Granular topic extraction and modeling are fundament tasks in text analysis. Hierarchical
topic clustering algorithms and hierarchical topic models are usually employed for these …

The high turnover of developers in the Open-Source Software (OSS) systems is due to the
lack of restriction on a developer's involvement and contributions. The primary developers …

Data clustering has been proven to be a promising data mining technique. Recently, there
have been many attempts for clustering market-basket data. In this paper, we propose a …

Clustering and outlier detection are important data mining areas. Online clustering and
outlier detection generally work with continuous data streams generated at a rapid rate and …

Market-basket data analysis is an important problem that has been well addressed in the
literature especially in the context of finding associations among items in market-basket data …