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Mining and Storing Data Streams for Reliability Analysis

Conference Paper

Title: Mining and Storing Data Streams for Reliability Analysis
Author:
Duhaney, J.; Khoshgoftaar, T.; Agarwal, A.; Sloan, J.
Publication Date:
Event Name:
16th International ISSAT on Reliability and Quality in Design
Publisher:
ISSAT
Affiliation:
Florida Atlantic University
Technology:
Current
Operations:
Condition Monitoring
Language:
English

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Citation

Duhaney, J.; Khoshgoftaar, T.; Agarwal, A.; Sloan, J. (2010). Mining and Storing Data Streams for Reliability Analysis. Paper presented at 16th International ISSAT on Reliability and Quality in Design
@conference{Duhaney-2010-4570,
author = {Duhaney, J and Khoshgoftaar, T and Agarwal, A and Sloan, J},
title = {Mining and Storing Data Streams for Reliability Analysis},
year = {2010},
month = {aug},
series = {16th International ISSAT on Reliability and Quality in Design},
publisher = {ISSAT},
keywords = {Current, Condition Monitoring},
}
Export Citation to BibTex
TY - CONF
TI - Mining and Storing Data Streams for Reliability Analysis
AU - Duhaney, J
AU - Khoshgoftaar, T
AU - Agarwal, A
AU - Sloan, J
T2 - 16th International ISSAT on Reliability and Quality in Design
AB - Sensor networks, in addition to stock tickers, network event logs, scientific simulations, credit card transactional flows, and surveillance video cameras, output a continuous flow of data, called a data stream. Mining data from a network of sensors provides insight into the health and reliability of a system. This process is known as data stream mining. This paper examines the issues associated with mining these sensor data streams and the challenges related to storing some or all of this data. This paper will identify opportunities for future work in mining and storage of data streams.
DA - 2010/08//
PY - 2010
PB - ISSAT
LA - English
KW - Current
KW - Condition Monitoring
ER -
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Abstract

Sensor networks, in addition to stock tickers, network event logs, scientific simulations, credit card transactional flows, and surveillance video cameras, output a continuous flow of data, called a data stream. Mining data from a network of sensors provides insight into the health and reliability of a system. This process is known as data stream mining. This paper examines the issues associated with mining these sensor data streams and the challenges related to storing some or all of this data. This paper will identify opportunities for future work in mining and storage of data streams.