Frequent itemset mining (FIM) is a useful tool for discovering frequently co-occurrent items.
Since its inception, a number of significant FIM algorithms have been developed to speed up …

The latest techniques and principles of parallel and grid database processing The growth in
grid databases, coupled with the utility of parallel query processing, presents an important …

Parallel association rules mining is a high performance mining method. Until now there are
many parallel algorithms to mine association rules, this paper emphatically analyses …

The hiding of sensitive knowledge, mined from transactional databases, is one of the
primary goals of privacy preserving data mining. The increased storage capabilities of …

Data mining is the process of discovering interesting and previously unknown information
from such stores. Recent advances in data collection technology have generated large …

Association rule mining is one of the most researched areas because of its applicability in
various fields. We propose a novel data structure called Sequence Pattern Count, SPC, tree …