Mining sequential patterns of event streams in a smart home application

M. Hassani, C. Beecks, D. Töws, T. Seidl

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

7 Citations (Scopus)

Abstract

Recent advances in sensing techniques enabled the possibil- ity to gain precise information about switched-on devices in smart home environments. One is particularly interested in exploring different pat- terns of electrical usage of indoor appliances and using them to predict activities. This in turns results with many useful applications like in- ferring effective energy saving procedures. The necessity to derive this knowledge in the real time and the huge size of generated data initiated the need for a precise stream sequential pattern mining approach. Most available approaches are less accurate due to their batch-based nature. We present a smart home application of the PBuilder algorithm which uses a batch-free approach to mine sequential patterns of a real dataset collected from appliances. Additionally, we present the StrPMiner which uses the PBuilder to find sequential patterns within multiple streams. We show through an extensive evaluation over a smart home real dataset the superiority of the StrPMiner algorithm over a state-of-the-art approach.
Original languageEnglish
Title of host publicationProceedings of the LWA 2015 Workshops: KDML, FGWM, IR, and FGDB. FGDB. Trier, Germany, October 7-9, 2015
EditorsR. Bergmann, S. Görg, G. Müller
PublisherCEUR-WS.org
Pages159-170
Number of pages12
Publication statusPublished - 2015
Externally publishedYes
EventLWA 2015 Workshops: KDML, FGWM, IR, and FGDB. FGDB. Trier, Germany, October 7-9 - University of Trier, Trier, Germany
Duration: 7 Oct 20159 Oct 2015
http://lwa2015.wi2.uni-trier.de/

Publication series

NameCEUR workshop Proceedings
Volume1458
ISSN (Electronic)1613-0073

Conference

ConferenceLWA 2015 Workshops: KDML, FGWM, IR, and FGDB. FGDB. Trier, Germany, October 7-9
Abbreviated titleLWA2015
Country/TerritoryGermany
CityTrier
Period7/10/159/10/15
Internet address

Fingerprint

Dive into the research topics of 'Mining sequential patterns of event streams in a smart home application'. Together they form a unique fingerprint.

Cite this