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215 results

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Mining
Analytics Decision Tree Ensemble Apache Spark Tools & Services Classification
+4
  1. Go to item
    Node / Manipulator
    Correlation Filter
    Analytics Mining Feature Selection
    This node uses the model as generated by a Correlation node to determine which columns are redundant (i.e. correlated) and filter…
    1
  2. Go to item
    Node / Learner
    Decision Tree Learner
    Analytics Mining Decision Tree
    This node induces a classification decision tree in main memory. The target attribute must be nominal. The other attributes used …
    1
  3. Go to item
    Node / Learner
    Fuzzy Rule Learner
    Analytics Mining Rule Induction
    +1
    This rule learner* learns a Fuzzy Rule Model on labeled numeric data using Mixed Fuzzy Rule Formation as the underlying training …
    1
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    Node / Visualizer
    Hierarchical Cluster View
    Analytics Mining Clustering
    This view takes a hierarchical cluster tree and the same input table, that has been used for the creating the clustering and visu…
    1
  5. Go to item
    Node / Manipulator
    Low Variance Filter
    Analytics Mining Feature Selection
    Filters out double-compatible columns, whose variance is below a user defined threshold. Columns with low variance are likely to …
    1
  6. Go to item
    Node / Predictor
    MultiLayerPerceptron Predictor
    Analytics Mining Neural Network
    +2
    Based on a trained MultiLayerPerceptron-model given at the model inport of this node, the expected output values are computed. If…
    1
  7. Go to item
    Node / Other
    Scorer
    Analytics Mining Scoring
    Compares two columns by their attribute value pairs and shows the confusion matrix, i.e. how many rows of which attribute and the…
    1
  8. Go to item
    Node / Learner
    Association Rule Learner
    Analytics Mining Item Sets / Association Rules
    The association rule learner* searches for frequent itemsets meeting the user-defined minimum support criterion and, optionally, …
    0
  9. Go to item
    Node / Learner
    Association Rule Learner (Borgelt)
    Analytics Mining Item Sets / Association Rules
    This rule learner* uses the Apriori (Agrawal et al. 1993) algorithm implemented by Christian Borgelt. The following description h…
    0
  10. Go to item
    Node / LoopEnd
    Backward Feature Elimination End (deprecated)
    Analytics Mining Feature Selection
    This is the end node of a backward feature elimination loop. It compares the target column with the prediction column set in the …
    0
  11. Go to item
    Node / Manipulator
    Backward Feature Elimination Filter (deprecated)
    Analytics Mining Feature Selection
    This node takes a model built with a feature elimination loop and lets you choose the column you want to include in the output ta…
    0
  12. Go to item
    Node / LoopStart
    Backward Feature Elimination Start (1:1) (deprecated)
    Analytics Mining Feature Selection
    This is the start node of a backward feature elimination loop. The first iteration of the loop is executed with all input columns…
    0
  13. Go to item
    Node / LoopStart
    Backward Feature Elimination Start (2:2) (deprecated)
    Analytics Mining Feature Selection
    This is the start node of a backward feature elimination loop. The first iteration of the loop is executed with all input columns…
    0
  14. Go to item
    Node / LoopEnd
    Boosting Learner Loop End
    Analytics Mining Ensemble Learning
    Together with the corresponding loop start node a boosting loop can be constructed. It repeatedly trains simple models and weighs…
    0
  15. Go to item
    Node / LoopStart
    Boosting Learner Loop Start
    Analytics Mining Ensemble Learning
    Together with the corresponding loop end node a boosting loop can be constructed. It repeatedly trains simple models and weights …
    0
  16. Go to item
    Node / LoopEnd
    Boosting Predictor Loop End
    Analytics Mining Ensemble Learning
    Together with the corresponding loop start node a boosting prediction loop can be constructed. It uses the weighted models an cre…
    0
  17. Go to item
    Node / LoopStart
    Boosting Predictor Loop Start
    Analytics Mining Ensemble Learning
    Together with the corresponding loop end node a boosting prediction loop can be constructed. It uses the weighted models an creat…
    0
  18. Go to item
    Node / Other
    Cell To Model
    Analytics Mining Ensemble Learning
    Converts a single table cell into a model output.
    0
  19. Go to item
    Node / Other
    Chi-Square Keyword Extractor
    Other Data Types Text Processing Mining
    This node analyses documents and extracts relevant keywords using cooccurrence statistics as described in "Keyword extraction fro…
    0
  20. Go to item
    Node / Predictor
    Cluster Assigner
    Analytics Mining Clustering
    +1
    This node assigns new data to an existing set of prototypes, which are obtained e.g. by a k-means clustering. Each data point is …
    0

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