The DESQ framework for declarative and scalable frequent sequence mining

Beedkar, Kaustubh ; Gemulla, Rainer ; Renz-Wieland, Alexander

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URN: urn:nbn:de:bsz:180-madoc-574058
Document Type: Conference or workshop publication
Year of publication: 2019
Book title: Informatik 2019 : 50 Jahre Gesellschaft für Informatik – Informatik für Gesellschaft : Konferenzbeiträge der 49. Jahrestagung der Gesellschaft für Informatik : 23.-26.9.2019, Kassel, Deutschland
The title of a journal, publication series: GI-Edition : Lecture Notes in Informatics. Proceedings
Volume: 294
Page range: 249-250
Conference title: Informatik 2019
Location of the conference venue: Kassel, Germany
Date of the conference: 23.-26.09.2019
Publisher: David, Klaus
Place of publication: Bonn
Publishing house: Ges. für Informatik
ISBN: 978-3-88579-688-6 , 3-88579-688-0
ISSN: 1617-5468
Publication language: English
Institution: School of Business Informatics and Mathematics > Practical Computer Science I: Data Analytics (Gemulla 2014-)
License: CC BY 4.0 Creative Commons Attribution 4.0 International (CC BY 4.0)
Subject: 004 Computer science, internet
Keywords (English): Data mining ; Frequent sequence mining ; Subsequence constraints ; Pattern expressions ; Distributed sequence mining
Abstract: DESQ is a general-purpose framework for declarative and scalable frequent sequence mining. Applications express their speciĄc sequence mining tasks using a simple yet powerful powerful pattern expression language, and DESQŠs computation engine automatically executes the mining task in an efficient and scalable way. In this paper, we give a brief overview of DESQ and its components.

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