FREQUENT NEGATIVE SEQUENTIAL PATTERNS -A SURVEY
Sujatha Kamepalli, Raja Sekhara, Rao Kurra · 2014
Data mining is the extraction of hidden predictive information from large databases, is a powerful new technology with great potential to help companies focus on the most important information in their data warehouses. A frequent pattern is defined as a pattern, which can be a set of items, either with or without an order, occurs together in a database frequent enough to satisfy a certain minimum threshold. Sequential pattern mining is an important task in data mining. It provides an effective way to get special patterns from sequence data. Different from traditional positive sequential patterns, negative sequential patterns focus on negative relationship between items sets, in which case, absent items are taken into consideration. This paper provides the analysis of different algorithms used for negative sequential patterns.