The Probabilistic Algorithm for Mining Frequent Sequences

The subject of the paper is to analyze the problem of the frequency of the subsequences in large volume sequences (texts, databases, etc.). A new algorithm ProMFS for mining frequent sequences is proposed. It is based on the estimated probabilistic-statistical characteristics of the appearance of elements of the sequence and their order. The algorithm builds a new much shorter sequence and makes decisions on the main sequence in accordance with the results of analysis of the shorter one.