Knowledge Extracting System for Non-Expert Miners

被引:0
|
作者
Ramya, P. [1 ]
Mohanavalli, S. [1 ]
Sasirekha, S. [1 ]
机构
[1] SSN Coll Engn, Dept Informat Technol, Madras, Tamil Nadu, India
关键词
Argo; latitude; longitude; mining;
D O I
暂无
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
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 PEZ's.
引用
收藏
页码:158 / 161
页数:4
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