Title :
Knowledge discovery in oceanographic databases: issues of complications in data sources
Author :
Ladner, Roy ; Petry, Fred
Author_Institution :
Naval Res. Lab., Stennis Space Center, MS, USA
Abstract :
Data mining or knowledge discovery refers to a variety of techniques having the intent of uncovering useful patterns and association from large databases. We have been working with data mining techniques for a variety of oceanographic data and have encountered a number of troublesome issues relative to available data. We describe the steps preparatory to data mining and three data mining techniques that we have applied to spatio-temporal data. We include a detailed review of various sources of geospatial, oceanographic and meteorological data and associated issues inherent in their use in knowledge discovery. We also provide issues relevant to the difficulties in providing an overall integration of this heterogeneous data for knowledge discovery.
Keywords :
data mining; geophysics computing; oceanography; very large databases; visual databases; data mining; geospatial data; knowledge discovery; meteorological data; oceanographic databases; spatio-temporal data; Algorithm design and analysis; Association rules; Cleaning; Data analysis; Data mining; Geodesy; Laboratories; Meteorology; Pattern analysis; Spatial databases;
Conference_Titel :
OCEANS '02 MTS/IEEE
Print_ISBN :
0-7803-7534-3
DOI :
10.1109/OCEANS.2002.1192146