The task of finding correlations between items in a dataset, association mining, has received
considerable attention over the last decade. This article presents a survey of association …

As technology evolves, more components are integrated into printed circuit boards (PCBs)
and the PCB layout increases. Because small defects on signal trace can cause significant …

Data Mining: Concepts and Techniques, Fourth Edition introduces concepts, principles, and
methods for mining patterns, knowledge, and models from various kinds of data for diverse …

Discovery of association rules. is an important database mining problem. Current algorithms
for finding association rules require several passes over the analyzed database, and …

The discovery of functional dependencies from relations is an important database analysis
technique. We present Tane, an efficient algorithm for finding functional dependencies from …

We consider the problem of finding statistically unusual subgroups in a multi-relation
database, and extend previous work on single-relation subgroup discovery. We give a …

Twitter is a unique social media channel, in the sense that users discuss and talk about the
most diverse topics, including their health conditions. In this paper we analyze how Dengue …

The functional dependency inference problem is the following. Given a relation r, find a set
of functional dependencies that is equivalent with the set of all functional dependencies …

This valuable text addresses different pattern recognition (PR) tasks in a unified framework
with both theoretical and experimental results. Tasks covered include data condensation …

The digital technologies and computer advances with the booming internet uses have led to
massive data collection (corporate data, data warehouses, webs, just to name a few) and …