Details
| Original language | English |
|---|---|
| Title of host publication | 2001 7th IEEE/IFIP International Symposium on Integrated Network Management Proceedings |
| Subtitle of host publication | Integrated Management Strategies for the New Millennium |
| Editors | George Pavlou, Antonio Liotta, Nikos Anerousis |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 285-288 |
| Number of pages | 4 |
| ISBN (electronic) | 0780367197, 9780780367197 |
| Publication status | Published - 2001 |
| Event | 7th IEEE/IFIP International Symposium on Integrated Network Management, IM 2001 - Seattle, United States Duration: 14 May 2001 → 18 May 2001 |
Publication series
| Name | 2001 7th IEEE/IFIP International Symposium on Integrated Network Management Proceedings: Integrated Management Strategies for the New Millennium |
|---|
Abstract
The main topic of this paper is fault management, especially the search for correlated alarms in large alarm records stored in databases. We have chosen a GSM/DCS mobile telephone network as a basis for the investigations of our data mining algorithms which are used to detect correlated alarm patterns. Alarm correlation tools need information for the correlation of alarms which today are only known to system experts. The fallibility of human operators was the motivation to develop a data mining tool that is able to find correlated alarms. The parts introduced in this paper describe the main ideas of the algorithms and explains where the detection process is optimised. The algorithms implemented in our data mining tool ISIS (intelligent search of interesting patterns in sequences) are introduced and the functionality is explained.
Keywords
- Clustering algorithms, Communication networks, Data mining, Deductive databases, Distributed control, Fault detection, Filters, GSM, Intelligent networks, Intersymbol interference
ASJC Scopus subject areas
- Business, Management and Accounting(all)
- Management of Technology and Innovation
- Computer Science(all)
- Computer Networks and Communications
- Decision Sciences(all)
- Information Systems and Management
Cite this
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2001 7th IEEE/IFIP International Symposium on Integrated Network Management Proceedings: Integrated Management Strategies for the New Millennium. ed. / George Pavlou; Antonio Liotta; Nikos Anerousis. Institute of Electrical and Electronics Engineers Inc., 2001. p. 285-288 918040 (2001 7th IEEE/IFIP International Symposium on Integrated Network Management Proceedings: Integrated Management Strategies for the New Millennium).
Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
}
TY - GEN
T1 - Intelligent search for correlated alarm events in databases
AU - Tuchs, K. D.
AU - Jobmann, K.
PY - 2001
Y1 - 2001
N2 - The main topic of this paper is fault management, especially the search for correlated alarms in large alarm records stored in databases. We have chosen a GSM/DCS mobile telephone network as a basis for the investigations of our data mining algorithms which are used to detect correlated alarm patterns. Alarm correlation tools need information for the correlation of alarms which today are only known to system experts. The fallibility of human operators was the motivation to develop a data mining tool that is able to find correlated alarms. The parts introduced in this paper describe the main ideas of the algorithms and explains where the detection process is optimised. The algorithms implemented in our data mining tool ISIS (intelligent search of interesting patterns in sequences) are introduced and the functionality is explained.
AB - The main topic of this paper is fault management, especially the search for correlated alarms in large alarm records stored in databases. We have chosen a GSM/DCS mobile telephone network as a basis for the investigations of our data mining algorithms which are used to detect correlated alarm patterns. Alarm correlation tools need information for the correlation of alarms which today are only known to system experts. The fallibility of human operators was the motivation to develop a data mining tool that is able to find correlated alarms. The parts introduced in this paper describe the main ideas of the algorithms and explains where the detection process is optimised. The algorithms implemented in our data mining tool ISIS (intelligent search of interesting patterns in sequences) are introduced and the functionality is explained.
KW - Clustering algorithms
KW - Communication networks
KW - Data mining
KW - Deductive databases
KW - Distributed control
KW - Fault detection
KW - Filters
KW - GSM
KW - Intelligent networks
KW - Intersymbol interference
UR - http://www.scopus.com/inward/record.url?scp=84858043525&partnerID=8YFLogxK
U2 - 10.1109/INM.2001.918040
DO - 10.1109/INM.2001.918040
M3 - Conference contribution
AN - SCOPUS:84858043525
T3 - 2001 7th IEEE/IFIP International Symposium on Integrated Network Management Proceedings: Integrated Management Strategies for the New Millennium
SP - 285
EP - 288
BT - 2001 7th IEEE/IFIP International Symposium on Integrated Network Management Proceedings
A2 - Pavlou, George
A2 - Liotta, Antonio
A2 - Anerousis, Nikos
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 7th IEEE/IFIP International Symposium on Integrated Network Management, IM 2001
Y2 - 14 May 2001 through 18 May 2001
ER -