Adaptive exception monitoring agents for management by exceptions

Liu, Rey-Long; Shih, Meng-Jung; Kao, Yu-Fen

doi:10.1080/08839510151087338

Cited by 10 publications

(7 citation statements)

References 10 publications

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“…As to information monitoring, previous scanning systems often employed periodical monitoring to actively check for information updates in a periodical way [13,14]. To promote the costeffectiveness of monitoring, adaptive monitoring was developed to monitor different targets in different frequencies [5]. The integrative treatment of continuous information gathering and monitoring under limited resource consumption was explored as well [3].…”

Section: Related Workmentioning

confidence: 99%

“…Based on the specification, the scanner identifies proper seeds to start continuous gathering and monitoring of IOI from the web. With the recent successful technology in information monitoring [5] and gathering [6][7][8][9][10], the major challenge to realize the scanning flow lies on the interest miner, which we believe is an essential component to achieve satisfactory and cost-effective web scanning. This is the target we pursue in this paper.…”

Section: Introductionmentioning

confidence: 99%

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Incremental mining of information interest for personalized web scanning

Liu

Lin

2005

Information Systems

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Section: Related Workmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Incremental mining of information interest for personalized web scanning

Liu

Lin

2005

Information Systems

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“…즉, 예외모니터링(exceptional monitoring) 이란 정상 범위를 초과하거나 특정 규약을 위반하는 경우에 만 관찰자가 관찰할 수 있도록 하는 것을 의미한다 [9,41]. 대부분의 선행연구들은 관찰된 데이터를 모두 전송하거나 [3,15,17] …”

Section: 필터링과 예외 모니터링unclassified

A Study on Mobile Personalized Healthcare Management System

Kyung

Ok²

2015

KIPS Transactions on Computer and Communication Systems

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Recent changes in health care environment including aging population and prevalence of chronic disease encourage the adoption of new innovative technological solutions including wearable vital sensors, wireless networks, and smart phone. In this paper, we present an effective at-home lifestyle monitoring system that can be used for self-management and health intervention of patient himself in the Management-by-Exception perspectives. We implemented the filtering and queuing algorithms as a preprocessor of monitoring system to enhance efficiency of proposed system, and the effective UX design for self-management of patients themselves. The 94,467 actual clinic data was used to test the efficiency of the proposed system. As as a result, 64.8% of the incoming vital data was identified to be filtered out.

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“…The major challenges of information monitoring systems lie in the following [2][3][4][5]:-(1) The trade-off between timely information detection and load-bounded information detection. Timely information update detection often calls for more frequent requests to the related information servers, which will incur heavier loading to the servers and the channels.…”

Section: Introductionmentioning

confidence: 99%

Intelligent multi-agent system for information monitoring

Darwish

Elsherbiny²,

Shenawy³

2010

2010 10th International Conference on Intelligent Systems Design and Applications

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Information monitoring is a very essential activity for management, control and decision making in various applications. This paper proposes an intelligent system for monitoring information sources that consists of many adaptive agents cooperate with each other in order to monitor every information item updates at the right time without over loading of system resources. The main key of the presented system is the using of data mining approach to find information updates depending on the update behavior of each item and the relations between items updates. An experiment to investigate the performance of the proposed system is conducted by simulating real-world operations of financial management in merchandise trading transactions. Experimental results show that the proposed system detects more updates in a timely manner by incurring less extra loading to the related information servers and the communication channels.

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Adaptive exception monitoring agents for management by exceptions

Cited by 10 publications

References 10 publications

Incremental mining of information interest for personalized web scanning

Incremental mining of information interest for personalized web scanning

A Study on Mobile Personalized Healthcare Management System

Intelligent multi-agent system for information monitoring

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