Towards the Development of a Problem Solver for the Monitoring and Control of Instrumentation in a Grid Environment

T. Kalganova, S. Suppharangsan, R. Taylor, M. Alsaif, F. Lelli

Research output: Contribution to conferencePaperOther research output

Abstract

This paper considers the issues involved in developing a generic problem solver to be used within a grid environment for the monitoring and control of instrumentation. The specific feature of such an environment is that the type of data to be processed, as well as the problem, is not always known in advance. Therefore, it is necessary to develop a problem solver architecture that addresses this issue. We propose to analyze the performance of the problem solving algorithms available within the WEKA toolkit and determine a decision tree of the best performing algorithm for a given type of data. For this purpose the algorithms have been tested using 51 datasets either drawn from publicly available repositories or generated in a grid-enabled environment
Original languageEnglish
Pages287-292
DOIs
Publication statusPublished - 2006

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Monitoring
Decision trees

Keywords

  • Data Mining
  • Algorithm
  • Problem solving

Cite this

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abstract = "This paper considers the issues involved in developing a generic problem solver to be used within a grid environment for the monitoring and control of instrumentation. The specific feature of such an environment is that the type of data to be processed, as well as the problem, is not always known in advance. Therefore, it is necessary to develop a problem solver architecture that addresses this issue. We propose to analyze the performance of the problem solving algorithms available within the WEKA toolkit and determine a decision tree of the best performing algorithm for a given type of data. For this purpose the algorithms have been tested using 51 datasets either drawn from publicly available repositories or generated in a grid-enabled environment",
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Towards the Development of a Problem Solver for the Monitoring and Control of Instrumentation in a Grid Environment. / Kalganova, T.; Suppharangsan, S.; Taylor, R.; Alsaif, M.; Lelli, F.

2006. 287-292.

Research output: Contribution to conferencePaperOther research output

TY - CONF

T1 - Towards the Development of a Problem Solver for the Monitoring and Control of Instrumentation in a Grid Environment

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AU - Suppharangsan, S.

AU - Taylor, R.

AU - Alsaif, M.

AU - Lelli, F.

PY - 2006

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AB - This paper considers the issues involved in developing a generic problem solver to be used within a grid environment for the monitoring and control of instrumentation. The specific feature of such an environment is that the type of data to be processed, as well as the problem, is not always known in advance. Therefore, it is necessary to develop a problem solver architecture that addresses this issue. We propose to analyze the performance of the problem solving algorithms available within the WEKA toolkit and determine a decision tree of the best performing algorithm for a given type of data. For this purpose the algorithms have been tested using 51 datasets either drawn from publicly available repositories or generated in a grid-enabled environment

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KW - Algorithm

KW - Problem solving

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