DocumentCode :
3578960
Title :
Knowledge extracting system for non-expert miners
Author :
Ramya, P. ; Mohanavalli, S. ; Sasirekha, S.
Author_Institution :
Dept. of Inf. Technol., SSN Coll. of Eng., Chennai, India
fYear :
2014
Firstpage :
158
Lastpage :
161
Abstract :
Argo is a global array of 3,000 free-drifting profiling floats that will measure the temperature, pressure and salinity of the upper 2000 m of the ocean. This will allow continuous monitoring of the climate state of the ocean, with all data being relayed and made publicly available within hours after collection. Conceptually, Argo builds on the existing upper-ocean thermal networks, extending their spatial and temporal coverage, depth range and accuracy, and enhancing them through addition of salinity and velocity measurements. Also the float reads its latitude and longitude values. All these information in combination called as dataset and processed with some pre-processing and mining strategies. Pre-processing technique allows to extract the features that are required to define the ocean behaviour. Mining defines the similar patterns present in the dataset. Extracted pattern describes the behaviour of saline water by giving the tsunami alerts and PFZ´s.
Keywords :
climatology; feature extraction; geographic information systems; knowledge acquisition; ocean temperature; oceanographic equipment; oceanographic techniques; salinity (geophysical); Argo; free-drifting profiling floats; knowledge extracting system; mining strategies; nonexpert miners; ocean behaviour; ocean climate state monitoring; ocean salinity measurement; preprocessing technique; pressure measurement; saline water behaviour; temperature measurement; tsunami alerts; upper-ocean thermal networks; upper-ocean velocity measurements; Feature extraction; Indexes; Oceans; Sensors; Text mining; Argo; latitude; longitude; mining;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Communication and Network Technologies (ICCNT), 2014 International Conference on
Print_ISBN :
978-1-4799-6265-5
Type :
conf
DOI :
10.1109/CNT.2014.7062745
Filename :
7062745
Link To Document :
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