There are many key traditional computational problems addressed in Sequential Pattern Mining. These include things like building efficient data source and indexes intended for sequence information, extracting the frequently occurring patterns and retrieving missing sequence associates. In general, sequence mining problems may be classified as string mining which is typically based on string processing algorithms as well as itemset mining which is typically based on association rule learning.
Sequential Pattern Mining
