Because of the rapid growth in worldwide information, efficiency of association rules mining
(ARM) has been concerned for several years. In this paper, based on the original Apriori …

With the advent of the era of big data, how to efficiently process massive data has become a
hot research direction in the field of computer science. The existing data mining technology …

Social Networks promote information sharing between people everywhere and at all times.
Mining data produced in this data-rich environment can be extremely useful. Frequent …

Data mining is the extraction of useful, prognostic, interesting, and unknown information from
massive transaction databases and other repositories. Data mining tools predict potential …

The prediction of users' browsing behaviours is essential for putting appropriate information
on the web. The browsing behaviours are stored as navigational patterns in web server logs …

Frequent pattern mining has a critical role in mining associations, sequential patterns,
correlations, causality, episodes, multidimensional patterns, emerging patterns, and many …

Today, operation and maintenance security has become a key factor for the stable
development of enterprises. The flexible alarm information communication scheduling …

In this paper, the proposed method reduces CPU computation time by reducing transaction
scan. The Concept infrequent count is based on minimum threshold support and 2-way …

This paper presents a universal architecture of an embedded GUI system, which makes it
possible to satisfy multitasking requirements, and provide efficient performance on diverse …

For real-time applications that consist of massive number of rules, partitioning of the rules to
support parallel processing is important. This paper proposes a suite of algorithms called …