Searching for Patterns in Sequential Data: Functionality and Performance Assessment of Commercial and Open-Source Systems

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Authors: Bartosz Bębel, Bartosz Łukaszewski, Gastón Bakkalian, Robert Wrembel, Szymon Kłosowski, Witold Andrzejewski

Tags: 2016, conceptual modeling

Ubiquitous devices and applications generate data that are naturally ordered by time. Thus elementary data items can form sequences. The most popular way of analyzing sequences is searching for patterns. To this end, sequential pattern discovery techniques were proposed in some research contributions and implemented in a few database systems, e.g., Oracle Database, Teradata Aster, Apache Hive. The goal of this work is to assess the functionality of the systems and to evaluate their performance with respect to pattern queries.

Read the full paper here: https://link.springer.com/chapter/10.1007/978-3-319-47717-6_8