Fuzzy Sequential Patterns Summarization with Lattice Structure

Data mining is new but an interdisciplinary field utilizing statistics, machine learning, and other methods. In recent years, fuzzy logic has also been applied to augment data mining. The application of fuzzy logics makes the mining results more understandable and interpretable, apart from being useful and informative. Fuzzy rules are useful to summarize large databases. Several studies are done on fuzzy association rules. In our study, we argue that it is important and interesting to mine rules with timing information, as given by fuzzy sequential patterns. We propose the use of lattice structure for the summarization of fuzzy sequential patterns. We show that mining such rules requires managing a lot of information and we propose the use of lattice structure.