Abstract: As an important branch of data mining, sequential patterns mining has been extensively studied. Based on sequential patterns mining, Structural Relation Patterns (SRPs) mining is proposed ...

Institute for Information Systems (WIN), Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany Introduction: The analysis of discrete sequential data, such as event logs and customer ...

1 Suzhou Industrial Park Institute of Service Outsourcing, Suzhou, China 2 School of Computer Engineering, Suzhou Vocational University, Suzhou, China Combining item feature information helps extract ...

User response prediction, which models the user preference w.r.t. the presented items, plays a key role in online services. With two-decade rapid development, nowadays the cumulated user behavior ...

This project implements a solution for finding event sequential patterns which have a desired effect on object's state. So far four data sets have been implemented. Diabetes database, which describes ...