Decision makers are often faced with several conflicting alternatives. How do they evaluate
trade-offs when there are more than three criteria? To help people make optimal decisions …

When people or computers need to make a decision, typically multiple conflicting criteria
need to be evaluated; for example, when we buy a car, we need to consider safety, cost and …

Knowledge is a key source of sustainable competitive advantage. In response to
increasingly drastic and competitive environments, many organizations wish to better utilize …

The main aim of this paper is to present a revision of the most relevant results about the use
of Fuzzy Sets in Data Mining, specifically in relation with the discovery of Association Rules …

In order to obtain a better control of market trend and profit for the company, timely
identification of sales is very important for businesses. Upward and downward trends in …

Frequent pattern mining (FM) has a wide range of applications in the real world. But FM
sometimes discovers many uninteresting patterns at the same time. Constraint-based FM …

Associative classifiers are a classification system based on associative classification rules.
Although associative classification is more accurate than a traditional classification …

Sequence pattern discovery is a fundamental topic in the domain of data mining. It has been
widely used to solve various problems (eg, behavior pattern discovery, gene pattern …

Association rule mining is one of most popular data analysis methods that can discover
associations within data. Association rule mining algorithms have been applied to various …

Looking for associations in data is one of the data mining tasks that has aroused more
interest in the literature. In this area, incorporating concepts of fuzzy set theory is useful in …