56 items found

Tags: ScalableDataMining VRE

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  • Application

    Raster Data Publisher

    This algorithm publishes a raster file as a maps or datasets in the e-Infrastructure. NetCDF-CF files are encouraged, as WMS and WCS maps will be produced using this format. For...
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  • Application

    Lwr

    An algorithm to estimate Length-Weight relationship parameters for marine species, using Bayesian methods. Runs an R procedure. Based on the Cube-law theory. - Process category:...
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  • Application

    Taxonomy Observations Trend Per Year

    Algorithm returning most observations taxonomy trend in a specific years range (with respect to the OBIS database) - Process category: Obis Observations Trends
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  • Application

    Hspen

    The AquMaps HSPEN algorithm. A modeling algorithm that generates a table containing species envelops (HSPEN), i.e. models capturing species tolerance with respect to...
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  • Application

    Feed Forward Neural Network Trainer

    The algorithm trains a Feed Forward Artificial Neural Network using an online Back-Propagation procedure and returns the training error and a binary file containing the trained...
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  • Application

    Species Observations Trend Per Year

    An algorithm producing the trend of the observations for a certain species in a certain years range. - Process category: Obis Observations Trends
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  • Application

    Species Observation Lme Area Per Year

    Algorithm returning most observed species in a specific years range (data collected from OBIS database). - Process category: Obis Observations Trends
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  • Application

    Support Vector Machines Modelling

    An algorithm to train a Support Vector Machine using Gaussian Radial Basis Function as kernel. - Process category: Machine Learning Methods
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  • Application

    Timeextraction

    An algorithm to extract a time series of values associated to a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the time series...
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  • Application

    Quality Analysis

    An evaluator algorithm that assesses the effectiveness of a distribution model by computing the Receiver Operating Characteristics (ROC), the Area Under Curve (AUC) and the...
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  • Application

    Xmeans

    A clustering algorithm for occurrence points that relies on the X-Means algorithm, i.e. an extended version of the K-Means algorithm improved by an Improve-Structure part. A...
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  • Application

    Aquamaps Suitable 2050

    Algorithm for Suitable Range in 2050 by Aquamaps on a single node - Process category: Species Simulation
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  • Application

    Support Vector Machines Projector

    An algorithm that applies a pre-trained Support Vector Machine model to a dataset. - Process category: Machine Learning Methods
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  • Application

    Web App Publisher

    This algorithm publishes a zip file containing a Web site, based on html and javascript in the e-Infrastructure. It generates a public URL to the application that can be shared....
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  • Application

    Polygons To Map

    A transducer algorithm to produce a GIS map of filled polygons associated to x,y coordinates and a certain resolution. A maximum of 259000 is allowed - Process category: Maps
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  • Application

    Kmeans

    A clustering algorithm for real valued vectors that relies on the k-means algorithm, i.e. a method aiming to partition n observations into k clusters in which each observation...
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  • Application

    Species Observations Per Area

    An algorithm producing a bar chart for the distribution of a species along a certain type of marine area (e.g. LME or MEOW) - Process category: Obis Observations Species Data
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  • Application

    Zextraction Table

    An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for...
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  • Application

    Species Observation Meow Area Per Year

    Algorithm returning most observed species in a specific years range (data collected from OBIS database). - Process category: Obis Observations Trends
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  • Application

    Feed Forward Ann

    A method to train a generic Feed Forward Artifical Neural Network in order to simulate a function from the features space (R^n) to R. Uses the Back-propagation method. Produces...
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