Searching for Temporal Patterns in AmI Sensor Data

Abstract : Data streams emanating from sensors in AmI scenarios often exhibit interesting temporal patterns that point to semantically meaningful events. In this paper we explore two methodologies to uncover this hidden temporal structure: compression-based pattern extractors utilize temporal ordering whereas T-patterns attempt to include estimates for the inter-event times. We suggest improvements to simplify the statistical underpinnings of T-patterns and discuss the relative merits of both methodologies in the light of a number of simulation experiments.
Document type :
Conference papers
Complete list of metadatas

Cited literature [8 references]  Display  Hide  Download

https://halshs.archives-ouvertes.fr/halshs-01138512
Contributor : Romain Tavenard <>
Submitted on : Thursday, April 2, 2015 - 9:58:48 AM
Last modification on : Wednesday, May 16, 2018 - 11:23:29 AM
Long-term archiving on : Friday, July 3, 2015 - 10:16:26 AM

File

ami_07_tavenard.pdf
Files produced by the author(s)

Identifiers

Collections

Citation

Romain Tavenard, Albert Ali Salah, Eric Pauwels. Searching for Temporal Patterns in AmI Sensor Data. Constructing Ambient Intelligence, Nov 2007, Darmstadt, Germany. pp.53-62, ⟨10.1007/978-3-540-85379-4_7⟩. ⟨halshs-01138512⟩

Share

Metrics

Record views

66

Files downloads

223