Sequential Pattern Mining is the process that discovers relevant patterns between data examples where the values are delivered in a sequence.
Source: Big Data Analytics for Large Scale Wireless Networks: Challenges and Opportunities
Recent sequential pattern mining methods have used the minimum description length (MDL) principle to define an encoding scheme which describes an algorithm for mining the most compressing patterns in a database.
Adverse drug-drug interactions (DDIs) remain a leading cause of morbidity and mortality.
Constrained sequential pattern mining aims at identifying frequent patterns on a sequential database of items while observing constraints defined over the item attributes.