The energy consumption of residential and commercial buildings has risen steadily in recent
years, an increase largely due to their HVAC systems. Expected energy loads …

While the rapid development of information technology has made easy to store and access
the huge amount of data, it also brings another problem, that of how to extract potentially …

In this paper we provide a general approach for the concepts and processes related to the
generation of linguistic descriptions of time series. As we will see, this approach consists of …

Mining association rules are a major area of research in data mining, as there are typically a
large number of rules in each data set. And extracting necessary rules from each data set …

Association rule mining research typically focuses on positive association rules (PARs),
generated from frequently occurring itemsets. However, in recent years, there has been a …

The discovery and exploitation of hidden information in collected data have gained attention
in many areas, particularly in the energy field due to their economic and environmental …

The high computational impact when mining fuzzy association rules grows significantly
when managing very large data sets, triggering in many cases a memory overflow error and …

Pattern discovery techniques, such as association rule discovery is one of the fundamental
problem in data mining. Usually the task is limited to positive rules of the form X→ Y when X …

Current studies on association rule mining focus on finding Boolean/quantitative association
rules from certain databases or Boolean association rules from probabilistic databases …

Linguistic summarization has turned out to be an important knowledge discovery technique
by providing the most relevant natural language-based sentences in a human consistent …