This paper presents a comprehensive study on clustering: exiting methods and
developments made at various times. Clustering is defined as an unsupervised learning …

Increasing demand and costs for healthcare, exacerbated by ageing populations and a
great shortage of doctors, are serious concerns worldwide. Consequently, this has …

Abstract Information systems (IS) research has explored “effective use” in a variety of
contexts. However, it is yet to specifically consider it in the context of the unique …

Growing main memory capacity has fueled the development of in-memory big data
management and processing. By eliminating disk I/O bottleneck, it is now possible to support …

With the vigorous promotion of the construction of smart campus by the ministry of education,
the development concept of smart campus will have broad application prospects. However …

In recent years, the rapid development of fresh food e-commerce in China has brought about
more development opportunities for the cold chain logistics industry but has also presented …

As one type of efficient unsupervised learning methods, clustering algorithms have been
widely used in data mining and knowledge discovery with noticeable advantages. However …

The challenge of managing and extracting useful knowledge from social media data sources
has attracted much attention from academics and industry. To address this challenge …

We present a new approach for data analytics with iterations. Users express their analysis in
Datalog with bag-monotonic aggregate operators, which enables the expression of …

Shared-nothing architecture has been widely used in distributed databases to achieve good
scalability. While it offers superior performance for local transactions, the overhead of …