Generative models for scalable text mining Provides sparse matrix implementations for Multinomial Naive Bayes and Multinomial Ker…

A Java implementation of the CBA algorithm The classifier works with class association rules.That are association rules where exc…

Class implementing an Apriori-type algorithm. Iteratively reduces the minimum support until it finds the required number of rules…

Class implementing an Apriori-type algorithm Iteratively reduces the minimum support until it finds the required number of rules …

Yiling Yang, Xudong Guan, Jinyuan You: CLOPE: a fast and effective clustering algorithm for transactional data. In: Proceedings o…

Yiling Yang, Xudong Guan, Jinyuan You: CLOPE: a fast and effective clustering algorithm for transactional data In: Proceedings of…

Class implementing a HyperPipe classifier. For each category a HyperPipe is constructed that contains all points of that category…

Class implementing a HyperPipe classifier For each category a HyperPipe is constructed that contains all points of that category …

Wrapper classifier that addresses incompatible training and test data by building a mapping between the training data that a clas…

This metaclassifier makes its base classifier cost-sensitive using the method specified in Pedro Domingos: MetaCost: A general me…

Class for building and using a multinomial Naive Bayes classifier. For more information see, Andrew Mccallum, Kamal Nigam: A Comp…

Class implementing the FP-growth algorithm for finding large item sets without candidate generation. Iteratively reduces the mini…

Class for building and using a multinomial Naive Bayes classifier For more information see, Andrew Mccallum, Kamal Nigam: A Compa…

Class for building and using a multinomial Naive Bayes classifier. For more information see, Andrew Mccallum, Kamal Nigam: A Comp…

Class implementing the FP-growth algorithm for finding large item sets without candidate generation Iteratively reduces the minim…

Class for building and using a multinomial Naive Bayes classifier For more information see, Andrew Mccallum, Kamal Nigam: A Compa…

Multinomial naive bayes for text data Operates directly (and only) on String attributes.Other types of input attributes are accep…

The Weka Predictor takes a model generated in a weka node and classifies the test data at the inport.

The Weka Predictor takes a model generated in a weka node and classifies the test data at the inport.

Implements Bayesian Logistic Regression for both Gaussian and Laplace Priors. For more information, see Alexander Genkin, David D…