Fuzzy Sequential Patterns for Quantitative Data Mining

The amount of generated and collected data has been rapidly increasing in the last decades; these huge data and information collections are far outpacing our abilities to analyse, summarize, and extract knowledge. This explosive growth in stored data has generated a need for new techniques that can help in transforming these large quantities of data into useful comprehensible knowledge. These techniques, referred to as data mining, consist of automatically extracting patterns representing knowledge implicitly contained in large databases. Some of these approaches use principles of the fuzzy set theory; an introduction to such fuzzy data mining methods by Feil and Abonyi is included as a chapter of this book. AbstrAct