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VanBriesen (CEE, BME), Ailamaki (SCS), Faloutsos (SCS), Fischbeck (EPP, SDS) Small (CEE, EPP)

SENSORS: Placement and Operation of an Environmental Sensor Network to Facilitate Decision-Making Regarding Drinking Water Quality and Security. Objectives: Improve spatio-temporal data mining Develop “informed” or “gray box” data mining tools

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VanBriesen (CEE, BME), Ailamaki (SCS), Faloutsos (SCS), Fischbeck (EPP, SDS) Small (CEE, EPP)

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  1. SENSORS: Placement and Operation of an Environmental Sensor Network to Facilitate Decision-Making Regarding Drinking Water Quality and Security • Objectives: • Improve spatio-temporal data mining • Develop “informed” or “gray box” data mining tools • Develop drinking water quality models for multiple potential chemical and biological threats • Determine spatial and temporal resolutions necessary for in situ data collection sensor networks for environmental decision-making VanBriesen (CEE, BME), Ailamaki (SCS), Faloutsos (SCS), Fischbeck (EPP, SDS) Small (CEE, EPP) Carnegie Mellon University Carnegie Institute of Technology through Departments of Civil and Environmental Engineering (CEE), Biomedical Engineering (BME), and Engineering and Public Policy(EPP) In collaboration with the School of Computer Science (SCS)

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