Detecting Temporally Related Arithmetical Patterns - An Extension of Complex Event Processing

Ronald de Haan; Mikhail Roshchin

Research.Publish.Connect.

*Please fill out at least one Field. *Value must be an number!

Title:
ISBN:
Year:
Acronym:
Subject:

Advanced Search Proceedings Search

If you're looking for an exact phrase use quotation marks on text fields.

*Please fill out at least one Field.

Title:
Author:
Affiliation:
Subject:

Advanced Search Papers Search

If you're looking for an exact phrase use quotation marks on text fields.

*Please fill out at least one Field.

Name:
Affiliation:
Country:
Conference:
Subject:

Advanced Search Authors Search

If you're looking for an exact phrase use quotation marks on text fields.

*Please fill out at least one Field.

Name:
Country:
Subject:

Advanced Search Affiliations Search

If you're looking for an exact phrase use quotation marks on text fields.

Proceedings

Proceedings Search *Please fill out at least one Field. *Value must be an number!

Title:
ISBN:
Year:
Acronym:
Subject:

Advanced Search Proceedings Search

If you're looking for an exact phrase use quotation marks on text fields.

Papers

Papers Search *Please fill out at least one Field.

Title:
Author:
Affiliation:
Subject:

Advanced Search Papers Search

If you're looking for an exact phrase use quotation marks on text fields.

Authors

Authors Search *Please fill out at least one Field.

Name:
Affiliation:
Country:
Conference:
Subject:

Advanced Search Authors Search

If you're looking for an exact phrase use quotation marks on text fields.

Advanced Search

Paper

Detecting Temporally Related Arithmetical Patterns - An Extension of Complex Event Processing

Topics: Business Intelligence Applications; Information Extraction

In Proceedings of the International Conference on Knowledge Discovery and Information Retrieval - Volume 0IC3K, 329-332, 2012 , Barcelona, Spain

Authors: Ronald de Haan ¹ and Mikhail Roshchin ²

Affiliations: ¹ Technische Universität Dresden, Germany ; ² Siemens Corporate Technologies, Germany

Keyword(s): Complex Event Processing, Diagnostic Knowledge, Temporal Relations, Arithmetical Patterns.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Business Intelligence Applications ; Information Extraction ; Knowledge Discovery and Information Retrieval ; Knowledge-Based Systems ; Symbolic Systems

Abstract: When modelling diagnostic knowledge on technical systems it is often important to be able to capture complex events with a temporal structure, based on arithmetical patterns in (preprocessed) sensor data. With the current methods, such a combination is not easily possible. To solve this problem, we devise an extension of complex event processing methods, by designing a declarative language to specify the generation of events with a complex temporal structure that are based on arithmetical patterns in numerical data. This extension furthermore makes complex event processing methods more easily accessible for users that have no experience with complex event processing.

CC BY-NC-ND 4.0

Guest: Register as new SciTePress user now for free.

SciTePress user: please login.

My Papers

You are not signed in, therefore limits apply to your IP address 3.14.246.254

In the current month:

Recent papers: 100 available of 100 total

2⁺ years older papers: 200 available of 200 total

Paper citation in several formats:

de Haan, R. and Roshchin, M. (2012). Detecting Temporally Related Arithmetical Patterns - An Extension of Complex Event Processing. In Proceedings of the International Conference on Knowledge Discovery and Information Retrieval (IC3K 2012) - KDIR; ISBN 978-989-8565-29-7; ISSN 2184-3228, SciTePress, pages 329-332. DOI: 10.5220/0004135603290332

@conference{kdir12,
author={Ronald {de Haan}. and Mikhail Roshchin.},
title={Detecting Temporally Related Arithmetical Patterns - An Extension of Complex Event Processing},
booktitle={Proceedings of the International Conference on Knowledge Discovery and Information Retrieval (IC3K 2012) - KDIR},
year={2012},
pages={329-332},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004135603290332},
isbn={978-989-8565-29-7},
issn={2184-3228},
}

TY - CONF

JO - Proceedings of the International Conference on Knowledge Discovery and Information Retrieval (IC3K 2012) - KDIR
TI - Detecting Temporally Related Arithmetical Patterns - An Extension of Complex Event Processing
SN - 978-989-8565-29-7
IS - 2184-3228
AU - de Haan, R.
AU - Roshchin, M.
PY - 2012
SP - 329
EP - 332
DO - 10.5220/0004135603290332
PB - SciTePress