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ICSDM aims to provide a unique inter- and multi-disciplinary forum for all the professionals involved in spatiotemporal big data analysis, trajectory mining, stream data mining, night-time light remot...
The present study addresses the attempt made to explore the temporal (5-day revisit) and spatial resolution (56m) potential of AWiFS sensor aboard IRS-P6 to generate the land use land cover informatio...
Based on hyper spectral data mining techniques, field spectra data is used to study the diagnosable spectral signatures of uranium mineralization factors in this paper, and the spectral features of pl...
With the rapid development of economy, Chinese rural land-use is experiencing tremendous change, and the constant retreat of the land-use area causes a huge reaction recently. In this paper, we take t...
Spatial data mining (SDM) and change detection (CD) are hot issues in the field of geospatial information processing. Considering the feasibility of discovering knowledge from spatial database and t...
This paper puts forward a method that combines the learning algorithm of BP neural network with genetic algorithm to train BP network and optimize the weight values of the network in a global scale. T...
Although data mining is relative young technique, it has been used in a wide range of problem domains over the past few decades. In this paper, the authors present a new model to forecast the cultivat...
This paper presents a mobile virtual environment designed for the visualization of high-resolution virtualised scenes and for visual data mining. The architecture and the implementation of the mobile ...
POLYGONIZATION OF POINT CLUSTERS THROUGH CLUSTER BOUNDARY EXTRACTION FOR GEOGRAPHICAL DATA MINING.
Mapping of sugarcane planted area is an important information for decision making, mainly when the search for alternatives to mitigate greenhouse gas emissions has indicated theuse o...

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