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Kadavi et al., 2019 - Google Patents

Landslide-susceptibility mapping in Gangwon-do, South Korea, using logistic regression and decision tree models

Kadavi et al., 2019

Document ID
7170683728913906995
Author
Kadavi P
Lee C
Lee S
Publication year
Publication venue
Environmental Earth Sciences

External Links

Snippet

The logistic regression (LR) and decision tree (DT) models are widely used for prediction analysis in a variety of applications. In the case of landslide susceptibility, prediction analysis is important to predict the areas which have high potential for landslide occurrence …
Continue reading at link.springer.com (other versions)

Classifications

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    • G06F17/30587Details of specialised database models
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/30Information retrieval; Database structures therefor; File system structures therefor
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    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
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    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/10Complex mathematical operations
    • G06F17/18Complex mathematical operations for evaluating statistical data, e.g. average values, frequency distributions, probability functions, regression analysis
    • GPHYSICS
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    • G06F17/30241Information retrieval; Database structures therefor; File system structures therefor in geographical information databases
    • GPHYSICS
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    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions
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    • G06F17/30067File systems; File servers
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    • G06N99/00Subject matter not provided for in other groups of this subclass
    • GPHYSICS
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