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Deployable Suite of Data Mining Web Services for Online Science Data Repositories

Journal article published in 2007 by Sara Graves, Rahul Ramachandran, Ken Keiser, Manil Maskey
This paper was not found in any repository; the policy of its publisher is unknown or unclear.
This paper was not found in any repository; the policy of its publisher is unknown or unclear.

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Abstract

1Abstract Aproject is currently underway,to create a suite ofspecialized,deployable ,data mining ,web services designed specifically for science data. The,project ,leverages ,the ,Algorithm Development,and Mining (ADaM) toolkit as the basis. The ADaM toolkit is a robust, mature and freely available science data mining toolkit that isbeing used by different research organizations and,educational ,institutions worldwide. These deployable services will give the,scientific ,community ,a powerful ,and versatile data mining capability that can be used tocreate higher order products such as thematic maps,from current and future NASA satellite data records with methods ,that are not currently available. Many of the specialized data mining, pattern recognition, image processing and data preparation algorithms in ADaM are specifically geared towards satellite imagery, making these tools a perfect ,fit for NASA satellite data. In addition to providing specialized deployable data mining services, the suite will use the Earth Science Markup Language (ESML) to handle a variety,of heterogeneous, data ,formats seamlessly. ESML is another proven technology