Depending on the amount of data to process, file generation may take longer.

If it takes too long to generate, you can limit the data by, for example, reducing the range of years.

Chapter

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Title

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

Authors

[ 1 ] Instytut Informatyki, Wydział Informatyki, Politechnika Poznańska | [ 2 ] Wydział Informatyki, Politechnika Poznańska | [ P ] employee

Year of publication

2016

Chapter type

paper

Publication language

english

Abstract

EN 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.

Date of online publication

14.10.2016

Pages (from - to)

91 - 101

DOI

10.1007/978-3-319-47717-6_8

URL

https://link.springer.com/chapter/10.1007/978-3-319-47717-6_8

Book

Advances in Conceptual Modeling : ER 2016 Workshops

Presented on

35th International Conference on Conceptual Modeling, ER 2015, 14-17.11.2016, Gifu, Japan

Publication indexed in

WoS (15)

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