• CMAR

  • Referenced in 53 articles [sw28406]
  • association rules. Previous studies propose that associative classification has high classification accuracy and strong flexibility ... sometimes biased classification or overfitting since the classification is based on only a single high ... rule. The authors propose a new associative classification method, CMAR, i.e., Classification based on Multiple ... scalable in comparison with other reported associative classification methods...
  • RWeka

  • Referenced in 21 articles [sw07208]
  • project in machine learning covering classification, regression, clustering, association rules and visualization. It is implemented...
  • CorClass

  • Referenced in 5 articles [sw01932]
  • CorClass: Correlated association rule mining for classification. A novel algorithm, CorClass, that integrates association rule ... mining with classification, is presented. It first discovers all correlated association rules (adapting a technique ... compared to other techniques for associative classification, is that CorClass directly finds the associations rules ... experimentally evaluated and compared to existing associative classification algorithms such as CBA, CMAR and rule...
  • DAVID

  • Referenced in 66 articles [sw17292]
  • large gene lists. The DAVID Gene Functional Classification Tool http://david.abcc.ncifcrf.gov uses a novel agglomeration ... condense a list of genes or associated biological terms into organized classes of related genes...
  • Minebench

  • Referenced in 9 articles [sw09611]
  • various categories such as clustering, classification, and association rule mining. We believe that MineBench will...
  • planebranches.mws

  • Referenced in 21 articles [sw30574]
  • problem of analytic classification of plane branches and to the associated moduli problem posed...
  • SimpleMKL

  • Referenced in 69 articles [sw12290]
  • simultaneously learning a kernel and the associated predictor in supervised learning settings. For the support ... SimpleMKL can be applied beyond binary classification, for problems like regression, clustering (one-class classification...
  • ACPRISM

  • Referenced in 1 article [sw36168]
  • ACPRISM: Associative classification based on PRISM algorithm. Associative classification (AC) is an integration between association ... rules and classification tasks that aim to predict unseen samples. Several studies indicate that ... algorithms. However, current AC algorithms inherit from association rules two major drawbacks resulting...
  • arulesCBA

  • Referenced in 2 articles [sw35204]
  • package arulesCBA: Classification Based on Association Rules. Provides the infrastructure for association rule-based classification ... including algorithms like Classification Based on Associations...
  • FRAPP

  • Referenced in 3 articles [sw08861]
  • evaluated specifically with regard to association and classification rule mining on a variety of real...
  • rCBA

  • Referenced in 1 article [sw35205]
  • classifier based on the ”Classification Based on Associations” (CBA). It can be used for building ... classification models from association rules. Rules are pruned in the order of precedence given ... Integrating Classification and Association Rule Mining. Proceedings KDD-98, New York, 27-31 August. AAAI...
  • CAR-Miner

  • Referenced in 2 articles [sw36167]
  • mining class-association rules. Building a high accuracy classifier for classification is a problem ... used for this purpose is based on association rules ... past, some researches showed that classification based on association rules (or class-association rules – CARs...
  • ML-KNN

  • Referenced in 74 articles [sw12923]
  • training set is composed of instances each associated with a set of labels ... Yeast gene functional analysis, natural scene classification and automatic web page categorization, show that...
  • ranger

  • Referenced in 42 articles [sw14498]
  • forests for high dimensional data. Ensembles of classification, regression and survival trees are supported ... scale of a genome-wide association study...
  • rcdt_ns_classifier

  • Referenced in 1 article [sw40669]
  • classification. We present a new supervised image classification method applicable to a broad class ... these variations and thus render the associated image classification problems easier to solve. The method...
  • stream

  • Referenced in 3 articles [sw23392]
  • Common data mining tasks associated with data streams include clustering, classification and frequent pattern mining...
  • ADaM

  • Referenced in 1 article [sw10693]
  • with scientific data. It provides classification, clustering and association rule mining methods that are common...
  • ICGE

  • Referenced in 1 article [sw23444]
  • expression level. An important problem associated with gene classification is to discern whether the clustering...
  • Medlda

  • Referenced in 13 articles [sw11723]
  • side information such as ratings or labels associated with documents or images to discover more ... suitable for prediction tasks such as document classification or regression. The principle underlying the MedLDA...
  • SVMT

  • Referenced in 1 article [sw02643]
  • SVMT-rule: association rule mining over SVM classification trees...