• rpart

  • Referenced in 138 articles [sw07115]
  • Partitioning. Recursive partitioning and regression trees. Recursive partitioning for classification, regression and survival trees...
  • randomForest

  • Referenced in 167 articles [sw10639]
  • classification and regression. Classification and regression based on a forest of trees using random inputs...
  • tree

  • Referenced in 18 articles [sw11163]
  • package tree: Classification and Regression Trees: Classification and regression trees. Runs a K-fold cross...
  • SPRINT

  • Referenced in 38 articles [sw11760]
  • well-studied problem, most of the current classification algorithms require that all or a portion ... databases. We present a new decision-tree-based classification algorithm, called SPRINT that removes...
  • SLIQ

  • Referenced in 50 articles [sw11759]
  • extensively in the past, most of the classification algorithms are designed only for memory-resident ... classifier. SLIQ is a decision tree classifier that can handle both numeric and categorical attributes ... with a breadth-first tree growing strategy to enable classification of disk-resident datasets. SLIQ...
  • RainForest

  • Referenced in 17 articles [sw20993]
  • Framework for Fast Decision Tree Construction of Large Datasets. Classification of large datasets ... unifying framework called Rain Forest for classification tree construction that separates the scalability aspects ... features that determine the quality of the tree. The generic algorithm is easy to instantiate ... scalable versions of a wide range of classification algorithms, our approach also offers performance improvements...
  • ranger

  • Referenced in 33 articles [sw14498]
  • high dimensional data. Ensembles of classification, regression and survival trees are supported. We describe...
  • evtree

  • Referenced in 11 articles [sw14304]
  • Evolutionary Learning of Globally Optimal Trees. Commonly used classification and regression tree methods like ... search over the parameter space of trees is to use global optimization methods like evolutionary ... algorithm for learning globally optimal classification and regression trees in R. CPU and memory-intensive...
  • partykit

  • Referenced in 24 articles [sw10634]
  • representing, summarizing, and visualizing tree-structured regression and classification models. This unified infrastructure...
  • BayesTree

  • Referenced in 59 articles [sw07995]
  • Bayesian “sum-of-trees” model where each tree is constrained by a regularization prior ... simulation experiment and on a drug discovery classification problem...
  • rpartOrdinal

  • Referenced in 6 articles [sw11730]
  • package rpartOrdinal: Ordinal classification tree functions. This package contains functions that can be called ... conjunction with rpart for deriving a classification tree when the response to be predicted...
  • rpartScore

  • Referenced in 5 articles [sw14366]
  • package rpartScore: Classification trees for ordinal responses. This package contains functions that allow to build ... classification trees for ordinal responses within the CART framework. The trees are grown using...
  • CART

  • Referenced in 7 articles [sw25289]
  • CART® software is the ultimate classification tree that has revolutionized the field of advanced analytics...
  • CMAR

  • Referenced in 50 articles [sw28406]
  • associative classification method, CMAR, i.e., Classification based on Multiple Association Rules. The method extends ... growth, constructs a class distribution-associated FP-tree, and mines large databases efficiently. Moreover ... applies a CR-tree structure to store and retrieve mined association rules efficiently, and prunes ... confidence, correlation and database coverage. The classification is performed based on a weighted /spl...
  • adabag

  • Referenced in 6 articles [sw08024]
  • Breiman’s Bagging algorithm using classification trees as individual classifiers. Once these classifiers have been...
  • DTREG

  • Referenced in 4 articles [sw23356]
  • work of creating a decision tree, Support Vector Machine, K-Means clustering, Linear Discriminant Function ... analyses can be set up in minutes. Classification ... Regression Trees. DTREG can build Classification Trees where the target variable being predicted is categorical...
  • MedTree

  • Referenced in 3 articles [sw12469]
  • novel algorithm to optimize classification trees. L. Breiman, J. H. Friedman, R. A. Olshen ... Stone [Classification and regression trees (1984; Zbl 0541.62042)] expounded a method called classification and regression ... trees, or CART, which is of use for nonparametric discrimination and regression. In this paper ... able to increase the quality of classification trees beyond the quality of trees, which...
  • KLIMT

  • Referenced in 5 articles [sw11027]
  • algorithm with the interactive visualization of classification trees provided by the Klassification-Interactive Methods ... Trees (KLIMT) software it is possible to highlight important information deriving from the knowledge extraction ... without neglecting the prediction accuracy of the classification method. Empirical evidence from two benchmark datasets...
  • SODAS

  • Referenced in 69 articles [sw00885]
  • base, distance matrix for symbolic objects, divisible classification of symbolic data, symbolic kernel discriminant analysis ... component analysis, histograms and elementary statistics, segmentation tree for stratified data, decision tree...
  • PLANET

  • Referenced in 5 articles [sw15434]
  • tree ensembles with mapreduce. Classification and regression tree learning on massive datasets is a common ... tree models over large datasets. PLANET defines tree learning as a series of distributed computations ... framework supports scalable construction of classification and regression trees, as well as ensembles of such...