Correlated topic modeling has been limited to small model and problem sizes due to their
high computational cost and poor scaling. In this paper, we propose a new model which …

The professional design of the routing protocols with mobile sink (s) in wireless sensor
networks (WSNs) is important for many purposes such as maximizing energy efficiency …

The online event discovery in social media based documents is useful, such as for disaster
recognition and intervention. However, the diverse events incrementally identified from …

Practical applications of Bayesian nonparametric (BNP) models have been limited, due to
their high computational complexity and poor scaling on large data. In this paper, we …

Reconstructing jets, which provide vital insights into the properties and histories of
subatomic particles produced in high-energy collisions, is a main problem in data analyses …

Hierarchical clusterings compactly encode multiple granularities of clusters within a tree
structure. Hierarchies, by definition, fail to capture different flat partitions that are not …

Hierarchical clustering is a critical task in numerous domains. Many approaches are based
on heuristics and the properties of the resulting clusterings are studied post hoc. However, in …

The collaborative approach has shown interest in several fields of application, particularly in
information retrieval to satisfy a need for shared information. Despite this collaboration, the …

Data integration plays a crucial role in the era of big data. The nested data are a combined
set of observations from multiple sources and exhibit heterogeneity both at the source level …

The mobility of sink is one of the significant strategies to gather data in wireless sensor
networks (WSNs). However, the reduction or limitation of the trajectory length is more …