• CMAR

  • Referenced in 49 articles [sw28406]
  • multiple class-association rules. Previous studies propose that associative classification has high classification accuracy ... suffers from the huge set of mined rules and sometimes biased classification or overfitting since ... Multiple Association Rules. The method extends an efficient frequent pattern mining method, FP-growth, constructs ... tree structure to store and retrieve mined association rules efficiently, and prunes rules effectively based...
  • CLOSET

  • Referenced in 50 articles [sw26986]
  • itemsets and association rules. Recent studies have proposed an interesting alternative: mining frequent closed itemsets ... their corresponding rules, which has the same power as association mining but substantially reduces...
  • arules

  • Referenced in 18 articles [sw07327]
  • package arules: Mining Association Rules and Frequent Itemsets. Provides the infrastructure for representing, manipulating ... association rules). Also provides interfaces to C implementations of the association mining algorithms Apriori...
  • 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...
  • 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...
  • 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...
  • FARMER

  • Referenced in 5 articles [sw26987]
  • 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 ... association rules, FARMER finds interesting rule groups which are essentially a set of rules that ... orders of magnitude faster than previous association rule mining algorithms...
  • TCOM

  • Referenced in 4 articles [sw02744]
  • TCOM, an 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 ... itemsets and valid association rules will be mined based on TCOM, which combines the advantages...
  • QuantMiner

  • Referenced in 6 articles [sw14434]
  • QuantMiner for mining quantitative association rules. In this paper, we propose QuantMiner, a mining quantitative ... that dynamically discovers “good” intervals in association rules by optimizing both the support ... QuantMiner as an interactive, exploratory data mining tool...
  • RP-Tree

  • Referenced in 3 articles [sw18882]
  • tree: rare pattern tree mining. Most association rule mining techniques concentrate on finding frequent rules ... associations. All current algorithms for rare association rule mining use an Apriori level-wise approach ... Tree, a method for mining a subset of rare association rules using a tree structure...
  • SARM

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

  • Referenced in 8 articles [sw06648]
  • association rules with rule-focusing methodology. On account of the enormous amounts of rules that ... data mining algorithms, knowledge post-processing is a difficult stage in an association rule discovery ... association rules. It allows the user to explore large sets of rules freely by focusing ... rules by means of a specific constraint-based rule-mining algorithm...
  • MOSSFARM

  • Referenced in 2 articles [sw02750]
  • MOSSFARM: model structure selection by fuzzy association rule mining Effective methods for feature and model ... very important for data-driven modeling, data mining, and system identification tasks. This paper presents ... outputs. The proposed method applies fuzzy association rule mining. The selection process of the important ... interesting measures of the mined association rules...
  • CAR-Miner

  • Referenced in 2 articles [sw36167]
  • Miner: An efficient algorithm for mining class-association rules. Building a high accuracy classifier ... propose a new method for mining class-association rule. Firstly, we design a tree structure ... MECR-tree data structure for mining class-association rules. Some theorems for fast joining itemsets ... developed. An efficient algorithm for mining class-association rules based on the MECR-tree...
  • FlexibleQL

  • Referenced in 1 article [sw02014]
  • languages have been designed just to mine association rules and mining other patterns of data...
  • RM-Tool

  • Referenced in 1 article [sw06792]
  • mining tools available to carry out association rule mining. However, it is necessary ... obtain only the most interesting and useful rules for a given problem and dataset ... evaluation of association rules. Using this tool, any data mining user can easily discover, filter...
  • FRAPP

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

  • Referenced in 1 article [sw10693]
  • data. It provides classification, clustering and association rule mining methods that are common to many...
  • SVMT

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