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          • AC2 , provides graphical tools for data preparation and builing decision trees.
          • Alice d′Isoft 6.0 , a streamlined version of ISoft′s decision-tree-based AC2 data-mining product, is designed for mainstream business users.
          • C5.0/See5 , constructs classifiers in the form of decision trees and rulesets. Includes latest innovations such as boosting.
          • CART 5.0 decision-tree software , multiple winners of KDD Cup. Advanced facilities for data mining, data pre-processing and predictive modeling including bagging and arcing.
          • new Compumine Rule Discovery System , has a complete coverage of rule-based predictive modeling methods for both classification and regression, with a user-friendly interface.
          • new DrawBTree , Binary Decision Tree flowcharting software, as well as examples of how these flowcharts are used in documents.
          • DTREG , generates classification and regression decision trees; finds optimal tree size; supports variable costs, priors and variable weights. Download free demo version.
          • Decisionhouse , provides data extraction, management, pre-processing and visualization, plus customer profiling, segmentation and geographical display.
          • Fair, Isaac Model Builder for Decision Trees , advanced tree-building software that leverages your data and your business expertise to guide you in strategy development.
          • KnowledgeSEEKER , high performance interactive decision tree analytical tool.
          • Neusciences aXi.DecisionTree , ActiveX Control for building a decision tree. Handles discrete and continuous problems and can extract rules from the tree.
          • PolyAnalyst , includes an information Gain decision tree among its 11 algorithms.
          • Purple Insight MineSet , offering decision trees and other classification methods.
          • Shih Tree Builder , Classifier/regression/probability tree, manual/automatic split, pruning, priors, misclassification costs, train/test parallel monitoring, mixed algorithms, exhausitive search of possible splits.
          • SPSS AnswerTree , easy to use package with CHAID and other decision tree algorithms. Includes decision tree export in XML format.
          • XpertRule Miner (Attar Software), provides graphical decision trees with the ability to embed as ActiveX components.
          free and shareware:
          • C4.5 , the "classic" decision-tree tool, developed by J. R. Quinlan, (restricted distribution).
          • new BTreePseudo , pseudo-code for a decision-tree program.
          • Classification Tree in Excel , from Angshuman Saha
          • DM-II system , includes CBA for classification based on associations, and many more features.
          • GAtree , genetic induction and visualization of decision trees (free and commercial versions available).
          • IND , provides Gini and C4.5 style decision trees and more. Publicly available from NASA but with export restrictions.
          • LMDT , builds Linear Machine Decision Trees (based on Brodley and Utgoff papers).
          • Mangrove , a tool for visualization of decision tree learning,
          • OC1 , decision tree system continuous feature values; builds decision trees with linear combinations of attributes at each internal node; these trees then partition the space of examples with both oblique and axis-parallel hyperplanes.
          • ODBCMINE , analyzes ODBC databases using C4.5, and outputs simple IF..ELSE decision rules in ascii.
          • PC4.5 , a parallel version of C4.5 built with Persistent Linda (PLinda) system.
          • SMILES , advanced decision tree learner, with new splitting criteria, non-greedy search, extraction of different solutions, boosting, cost-sensitive learning, and more.
          • Random forests from Leo Breiman , a combination of tree predictors such that each tree depends on the values of a random vector sampled independently and with the same distribution for all trees in the forest.


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          、轉載請注明來處和原文作者。非常感謝。

          posted on 2006-06-24 13:34 草兒 閱讀(736) 評論(0)  編輯  收藏 所屬分類: BI and DM
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