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By Alfredo Cuzzocrea
Clever options for Warehousing and Mining Sensor community facts offers basic and theoretical matters referring to info administration. masking a extensive diversity of themes on warehousing and mining sensor networks, this complicated name presents major options to these in database, facts warehousing, and knowledge mining learn groups.
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Another technology that is very relevant to some sensor network applications is spatial analysis. Tight synergy with core database functionality is again highly desirable. Examples of the interoperability between data mining and spatial components in the context of processing satellite sensor data are given in the satellite imagery case study. BY location Analytic Module CREATE CONTINUOUS QUERY sensor_change_cq COMPUTE ON COMMIT DESTINATION change_table SELECT location, time_stamp, measurement FROM (SELECT location, time_stamp, meaLAG(measurement, 1) OVER (PARTITION ORDER BY time) prev_measurement FROM sensor_measurements) WHERE prev_measurement – measurement > 100; The ETL stage can also include more sophisticated data mining approaches that extract information from the data stream.
Semantic Web Technologies have growing relevance to sensor network analysis. Usage includes data and content integration across heterogeneous sources, probabilistic reasoning, and inference. Commercial databases have already Integrated Intelligence Figure 7. Intrusion Detection Center dashboard detail statistics. provided some support for these technologies. For example, the Oracle RDBMS has introduced native RDF/RDFS/OWL support, enabling application developers to benefit from a scalable and integrated platform (Lopez & Das, 2007).
It describes an online network monitoring application that takes advantage of analytic components as well as of the scheduling, alerting, and visualization infrastructure available in the database. 8 Satellite Imagery This example illustrates ADW’s integrated approach in the context of hyperspectral satellite image processing and analysis. The focus is on the data mining and spatial analysis modules in Figure 1 and their interoperability. The spectral bands for an image are stored in a database table.