Community detection and evaluation is an important task in graph mining. In many cases, a
community is defined as a subgraph characterized by dense connections or interactions …

Incorporating semantic knowledge from an ontology into document clustering is an important
but challenging problem. While numerous methods have been developed, the value of …

Understanding how topics within a document evolve over the structure of the document is an
interesting and potentially important problem in exploratory and predictive text analytics. In …

Abstract The Wisdom of Crowds is a phenomenon described in social science that suggests
four criteria applicable to groups of people. It is claimed that, if these criteria are satisfied …

Diversity and quality are two important factors that affect clustering ensemble performance.
Some base clusterings are irrelevant and redundant, which decreases the performance of …

Terrorist group's forums remain a threat for all web users. It stills need to be inspired with
algorithms to detect the informative contents. In this paper, we investigate most discussed …

Characterization of waste recycling (WR) research has to start by defining the scope of this
scientific area. Previous works and expert assessment recommend the adoption of an …

A novel method for automatically constructing taxonomies for specific research domains is
presented. The proposed methodology uses term co-occurrence frequencies as an indicator …

Analyzing three-way data has attracted a lot of attention recently because such data have
intrinsic rich structures and naturally appear in many real-world applications. One typical …

Clustering ensemble selection has shown high efficiency in the improvement of the quality of
clustering solutions. This technique comprises two important metrics: diversity and quality. It …