• CMAR

  • Referenced in 47 articles [sw28406]
  • efficient classification based on multiple class-association rules. Previous studies propose that associative classification ... CMAR, i.e., Classification based on Multiple Association Rules. The method extends an efficient frequent pattern ... structure to store and retrieve mined association rules efficiently, and prunes rules effectively based ... /sup 2/ analysis using multiple strong association rules. Our extensive experiments on 26 databases from...
  • CLOSET

  • Referenced in 47 articles [sw26986]
  • large set of frequent itemsets and association rules. Recent studies have proposed an interesting alternative ... their corresponding rules, which has the same power as association mining but substantially reduces...
  • arules

  • Referenced in 17 articles [sw07327]
  • package arules: Mining Association Rules and Frequent Itemsets. Provides the infrastructure for representing, manipulating ... data and patterns (frequent itemsets and association rules). Also provides interfaces to C implementations...
  • Galicia

  • Referenced in 16 articles [sw13047]
  • lattice construction and layout and for association rule extraction...
  • RWeka

  • Referenced in 15 articles [sw07208]
  • machine learning covering classification, regression, clustering, association rules and visualization. It is implemented on Java...
  • ARVis

  • Referenced in 8 articles [sw06648]
  • Interactive visual exploration of association rules with rule-focusing methodology. On account of the enormous ... amounts of rules that can be produced by data mining algorithms, knowledge post-processing ... difficult stage in an association rule discovery process. In order to find relevant knowledge ... visual post-processing of association rules. It allows the user to explore large sets...
  • TBAR

  • Referenced in 7 articles [sw02237]
  • TBAR: An efficient method for association rule mining in relational databases. In this paper ... propose a new algorithm for efficient association rule mining, which we apply in order ... algorithm, which is called Tree-Based Association Rule mining (TBAR), redefines the notion of item...
  • QuantMiner

  • Referenced in 6 articles [sw14434]
  • QuantMiner for mining quantitative association rules. In this paper, we propose QuantMiner, a mining quantitative ... association rules system. This system is based on a genetic algorithm that dynamically discovers “good ... intervals in association rules by optimizing both the support and the confidence. The experiments...
  • CorClass

  • Referenced in 5 articles [sw01932]
  • CorClass: Correlated association rule mining for classification. A novel algorithm, CorClass, that integrates association rule ... presented. It first discovers all correlated association rules (adapting a technique by Morishita and Sese ... that CorClass directly finds the associations rules for classification by employing a branch-and-bound ... CMAR) first discover all association rules satisfying a minimum support and confidence threshold and then...
  • SPMF

  • Referenced in 10 articles [sw11999]
  • sequence databases such as frequent itemsets, association rules and sequential patterns. The source code...
  • CLAIRE

  • Referenced in 33 articles [sw02583]
  • CLAIRE: Combining sets, search and rules to better express algorithms, programming language. This paper presents ... that are usually associated with declarative languages, such as sets, rules and search, into...
  • Minebench

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

  • Referenced in 9 articles [sw04989]
  • found application in many areas, including association rule mining, DNA microarray analysis, and business analytics...
  • FARMER

  • Referenced in 4 articles [sw26987]
  • columns but small number of rows. Association rules have been proved to be useful ... analyzing such datasets. However, most existing association rule mining algorithms are unable to efficiently handle ... columns. Moreover, the number of association rules generated from such datasets is enormous ... that is specially designed to discover association rules from microarray datasets. Instead of finding individual...
  • TCOM

  • Referenced in 4 articles [sw02744]
  • innovative data structure for mining association rules among infrequent items. Association rule mining ... deal of attention. The purpose of association rule mining is the discovery of association relationships ... efficient way to find the valid association rules among the infrequent items, which is seldom ... count of the itemsets and valid association rules will be mined based on TCOM, which...
  • CORON

  • Referenced in 7 articles [sw13526]
  • designed specifically for itemset extraction and association rule generation like Coron does not exist elsewhere...
  • RP-Tree

  • Referenced in 3 articles [sw18882]
  • tree: rare pattern tree mining. Most association rule mining techniques concentrate on finding frequent rules ... However, rare association rules are in some cases more interesting than frequent association rules since ... associations. All current algorithms for rare association rule mining use an Apriori level-wise approach ... mining a subset of rare association rules using a tree structure, and an information gain...
  • arulesViz

  • Referenced in 3 articles [sw07326]
  • arulesViz: Visualizing Association Rules and Frequent Itemsets Various visualization techniques for association rules and itemsets...
  • SARM

  • Referenced in 4 articles [sw02674]
  • SARM -- succinct association rule mining: An approach to enhance association mining...
  • NetMine

  • Referenced in 2 articles [sw02020]
  • data mining techniques. NetMine performs generalized association rule extraction to profile communications, detect anomalies ... identify recurrent patterns. Association rule extraction is a widely used exploratory technique to discover hidden ... novel algorithm to efficiently extract generalized association rules, which provide a high level abstraction ... automatically aggregated in more general association rules according to a frequency threshold. Eventually, extracted rules...