This work presents an overview of the text mining area, considering the most common
techniques, and including proposals based on the application of fuzzy sets. Besides, some …

Text mining has been a popular research topic in the field of natural language processing.
With the emergence of Web 2.0 and the development of social software, the amount of text …

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 …

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 …

Nowadays, the call for transparency in Artificial Intelligence models is growing due to the
need to understand how decisions derived from the methods are made when they ultimately …

In this work, we propose a new fuzzy reinforcement learning algorithm for differential games
that have continuous state and action spaces. The proposed algorithm uses function …

In this paper we describe and discuss the main contributions of the representation by levels
approach to fuzzy data mining. Representation by levels is an alternative representation of …

In this study, we propose a fast algorithm to form product-based fuzzy association rules from
large quantitative dataset, which reduces data size and ensures the quality of the obtained …

Association rules based on big data are derived from shopping basket analysis, which can
deeply explore the association between things, and have been widely used in many fields …

Purpose Conventional frequent itemsets mining ignores the fact that the relative benefits or
significance of “transactions” belonging to different customers are different in most of the …